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    國土資源遙感

    國土資源遙感

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    本刊由國土資源部主管，中國國土資源航空物探遙感中心主辦，中國遙感應用協會、中國地質學會遙感地質專業委員會協辦的技術性刊物（季刊），創刊于1989年。該刊以“促進遙感技術發展，加強遙感學術交流，推動遙感技術應用”為辦刊宗旨，貫徹學術性與技術性相結合，突出技術應用，兼顧理論探討。主要刊登實用性強的遙感、GIS及GPS（3S）技術應用論文，宣傳3S技術應用的新方法和重要成果。設有綜述、技術方法、技術應用及地理信息系統等欄目。
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    • 摘要：深入挖掘寄主光譜響應機制是推進馬尾松毛蟲害遙感快速監測與預警的必要基礎。將采集于福建省長汀縣、南平市建陽區的46條馬尾松林冠層光譜曲線數據設為規則組,利用單因素方差分析法實現不同危害等級可辨性波長的選擇。研究表明,不同危害等級下的馬尾松林冠層光譜數據呈現極顯著差異(P<0.01),其中,中度—重度危害的馬尾松林冠層光譜可辨性在516.51~598.99 nm和700.68~706.18 nm位置上有顯著差異(P<0.05),在708.92~810.62 nm位置上有極顯著差異(P<0.01)。為此,以519.20 nm,540.72 nm,758.40 nm和785.88 nm波段處光譜反射率為組合,以健康狀態下的馬尾松林冠層光譜數據為標準樣本,基于空間距離法、相關系數法及光譜角制圖法分別建立松毛蟲危害等級的定量化判定規則,并利用將樂縣、南平市延平區、華安縣的34條驗證組光譜曲線數據對此規則進行驗證。結果顯示,空間距離法的判定效果遠優于相關系數法與光譜角制圖法；無松毛蟲危害、輕度危害、中度危害以及重度危害的空間距離判定規則依次為：<0.3553,[0.3553,0.7425),[0.7425,0.9631)及≥0.9631,判定精度為88.24%,準確率達97.06%。%The deep mining of host spectral response mechanism is the necessary foundation for Dendrolimus punctatus Walker damage remote sensing fast monitoring and early warning. 46 canopy spectral curve data of Pinus massoniana forests collected in Changting County of Jianyang District were set as the rule group, and the one-way ANOVA was used to realize the distinguished wavelengths selection with different pest levels, and the results showed that there were highly significant differences of pine forests canopy spectral data with different pest levels ( P<0 . 01 ) , in which there were significant differences at 516 . 51~598 . 99 nm and 700 . 68~706 . 18 nm of spectral distinguishability between moderate damage and severe damage ( P<0 . 05 ) , and highly significant differences at 708. 92~810. 62 nm (P<0. 01). Thus, based on the combination of spectral reflectance of 519. 2 nm, 540. 72 nm, 758. 4 nm, 785. 88 nm and taking the healthy pine forests canopy spectral data as the standard sample, the authors constructed the quantitative determination rules of pest levels of Dendrolimus punctatus Walker, relying on the methods of spatial distance, correlation coefficient and spectral angle mapping respectively. The rules were verified with the test group of 34 spectral curve data collected in Jiangle County, Yanping District of Nanping City, and Huaan County, and the results showed that the determination effect of spatial distance method was by far better than that of the correlation coefficient method and spectral angle mapping method. The spatial distance determination rules of non -damage, mild damage, moderate damage and severe Dendrolimus punctatus Walker damages were as follows: <0 . 355 3 , [ 0 . 355 3 , 0 . 742 5 ) , [ 0 . 742 5 , 0 . 963 1 ) and ≥0 . 9631 , with the determination accuracy being 88 . 24% and the accurate rate being 97 . 06%.
    • 摘要：Glacier surface velocity is one of the key parameters of glacier dynamics and mass balance. Synthetic aperture radar ( SAR) image is an important data source to derive the glacier surface velocity. Now, methods for estimating glacier velocities mainly include Differential Interferometric techniques ( D-InSAR) , Multiple Aperture InSAR ( MAI) and offset tracking. Among them, MAI is a new InSAR technology to overcome the drawback of D-InSAR which is not sensitive to radar azimuth ( along-track) deformation. In this study, two ALOS PALSAR L band images which acquired 46 days apart were selected to derive glacier surface velocities of Skyang glacier in the central Karakoram based on the above three methods. In addition, the applications and limitations of the three methods in detecting glacier surface velocities are discussed. The results show that D-InSAR and MAI methods accurately detect displacements in range and azimuth direction respectively, but they all require high coherence. However, in areas of low coherence, offset tracking method achieves more reliable results;moreover, it can obtain two-dimensional glacier velocity field in both range and azimuth direction. Nevertheless, it is limited in the areas which lack feature points.%冰川表面流速是進行冰川動力學和物質平衡研究的關鍵參數之一。合成孔徑雷達( SAR)影像作為能大范圍提取山地冰川表面流速的重要數據源,利用其進行冰川流速估算目前主要有差分InSAR( D-InSAR)法、多孔徑In-SAR( MAI)法和SAR偏移量追蹤( offset tracking)法3種。其中,MAI法是為了克服D-InSAR對雷達方位向( along-track)形變不敏感而發展的一種新的InSAR技術。以喀喇昆侖山中部地區的斯克洋坎力冰川為例,選取了2008年2景間隔46 d的L波段ALOS PALSAR數據,利用上述3種方法分別進行冰川流速提取實驗,討論了3種方法在山地冰川表面流速監測中的適用性和局限性。結果表明,D-InSAR和MAI方法都能夠精確提取距離向和方位向的冰川流速信息,但對相干性均要求較高；在低相干區域,SAR偏移量追蹤方法也能夠獲取更為可靠的方位向和距離向二維冰川流速的速度場,但該方法在冰川表面特征不明顯的地區受到一定限制。
    • 摘要：In order to solve the problem that it is difficult to obtain spatial data in time in the earthquake stricken area, the authors propose in this paper a more efficient new segmentation algorithm on the basis of the own features of unmanned aerial vehicle( UAV) remote sensing images. Firstly, the image is divided into several homogeneous color areas and texture areas through variance detection on the color space. Secondly, preliminary partition of the homogeneous color area is directly achieved by Mean Shift method. Meanwhile, for the texture area, a high dimensional feature space is set up based on the color, texture, and shape information, and the proper bandwidth is calculated according to the normalized distribution density before applying Mean Shift algorithm on the feature space to model classification so as to reach the partition. Finally, an object function is set up to realize area merging and then reach the final partition results by smoothing over partitioned areas. Tests were conducted for high spatial resolution remote sensing image segmentation on UAV images of Lushan earthquake stricken area. A segmentation matching index which considers area and spectrum is proposed to evaluate the segmentation result. The experimental results show that the improved method performs better than the traditional method, and can provide data protection for subsequent damage information extraction.%為解決地震災區震后空間數據難以及時獲取的問題,考慮到無人機( unmanned aerial vehicle,UAV)遙感影像自身特點,提出了一種改進的均值漂移( Mean Shift)分割算法。按照影像特征將UAV影像劃分為紋理區和勻色區,對勻色區直接進行Mean Shift算法分割得到初分結果；對紋理區綜合提取顏色、紋理、形狀信息構造高維特征空間,并根據歸一化分布密度值求得其合適的帶寬,再使用Mean Shift算法對特征空間進行模式分類得到分割結果；通過構造代價函數進行區域合并,消除過分割區域,得到最終分割結果。針對蘆山地震后獲取的高空間分辨率UAV影像進行分割實驗,并提出一種考慮到面積和光譜的分割匹配指數對分割結果進行評價。實驗結果表明：所提出的改進的Mean Shift算法的分割精度優于傳統的Mean Shift算法,為后續的震害信息提取提供了數據保障。
    • 摘要：Performing quantitative evaluation of forest fire severity scientifically and reasonably is helpful to revealing the changing of forest ecosystems under fire, and is also of great significance for studying the vegetation recovery and management. Taking the north rim of Grand Canyon National Park in USA as the study area, combined with the composite burn index ( CBI) after field survey, the authors used Landsat5 TM images of Poplar Fire to analyze the applicability of NDVI, NBR,ΔNDVI andΔNBR so as to evaluate fire severity. According to the result obtained, there is some difference between the four remote sensing indices in identifying forest fire intensity of different levels. For non-fire and light fire, indices from a uni-temporal can perform better than indices from bi -temporal (pre and post fire), and NBR has the highest accuracy up to 66. 7% and 80%, respectively; on the contrary, for moderate fire and severe fire, indices from bi-temporal ( pre and post fire) can perform better than indices from a uni -temporal, and ΔNBR outperformed the others, because it considers only indices difference resulting from change of vegetation situation and environmental factors caused by forest fire and not affected by surroundings;it has high accuracy of evaluating moderate fire and severe fire, with the accuracy up to 100% and 90%. In general, indices from bi-temporal ( pre and post fire) have higher overall accuracy than indices from a uni-temporal, and ΔNBR has the highest overall accuracy in evaluating fire severity with the accuracy up to 86. 2%, which is hence the most suitable remote sensing indices to evaluate fire severity in this study area.%科學合理地定量評估林火烈度,對揭示林火干擾下森林生態系統的變化,以及植被的恢復與管理具有重要意義。以美國科羅拉多大峽谷國家公園北緣的Poplar Fire為實驗區,利用Landsat5 TM影像,結合實地調查的綜合火燒指數( composite burn index,CBI),分析評價了歸一化差值植被指數( normalized difference vegetation index ,NDVI),歸一化火燒指數( normalized burn ration, NBR),差分歸一化植被指數( differenced normalized difference vegetation in-dex,ΔNDVI)和差分歸一化火燒指數(differenced normalized burn ration,ΔNBR)4種遙感指數對林火烈度評估的適應性。結果表明,4種遙感指數對識別不同等級林火烈度存在一定的差異。在未過火區和輕度火災區,單一遙感指數的精度略高于差分遙感指數,其中NBR的提取精度最高,分別達到了66.7%和80%；在中度火災區和重度火災區,差分遙感指數的精度高于單一遙感指數,ΔNBR的提取精度最高,分別達到了100%和90%。總體上,基于差分遙感指數的林火烈度制圖精度總體高于單一遙感指數,其中ΔNBR的總體制圖精度最高,達到了86.2%。因此,ΔNBR是林火烈度分析與評估的適宜遙感指數。
    • 摘要：Compiling geomorphologic map by using remote sensing image has become a main method in the production of medium and small scale map because of its short period, high precision and the fact that it’ s easy to modify and quick to update. The purpose of this paper is to classify the plateau landform, extract the landform information and compile geomorphologic map by using higher resolution IRS-P6 satellite image in Tianjun County, Qinghai Province. Firstly, RS and GIS technology are used to process the remote sensing image and various sources reference data in order to unify them to the same GIS platform. Secondly, technological methods of the plateau landform information classification and the geomorphologic map compilation with large scale are illustrated in detail. Experiments and practice show that using RS and GIS technology platform can greatly reduce the difficulty of landscape classification and improve the speed and efficiency of landform information classification and map compil-ation.%利用遙感影像進行地形地貌制圖,因其成圖周期短、制圖精度高、修改方便和更新快捷等優勢,現已成為中小比例尺地貌制圖的主要方法。利用高分辨率的IRS-P6衛星影像對青海省天峻縣的高原地貌進行分類與信息提取,并制作大比例尺地貌圖。采用遙感( remote sensing,RS)和GIS技術對遙感數據和不同來源的輔助數據進行處理,將其統一到同一GIS平臺,在此基礎上詳細闡述了地貌分類、信息提取的技術流程和地貌圖制作的方法。研究表明,基于高分辨率遙感影像數據,采用RS和GIS相結合的技術,可以大大降低地貌分類的難度,提高地貌信息提取與制圖的速度和效率。
    • 摘要：Using data obtained from DEM and GF - 1 Satellite ( called GF - 1 ) concerning lithological characteristics in Cosibsumgy village on Sino -India border area, the authors conducted detailed remote sensing interpretation of structures and geological disasters to understand the application performances of GF-1 and find out the patterns of geological disasters that have happened in this area. The results show that the fused image of GF-1 data appears to be evident for the micro morphology of the disasters. It can identify the locations and outlines of the geological disasters. Landslide and frost weathering debris flow are dominant in the geological disasters. The landslide, collapse and mudslide mostly occur in the gradients ranging [25°, 35°], whereas the frost weathering debris flow has positive correlation with the gradients. The migration directions of the geological disasters are basically consistent with the directions of the main tectonic lines and the tendency of the bedrocks. Meanwhile, the multilevel river terraces existing in the area and the huge vertical fall from Quaternary system are the main causes for geological disasters, as revealed in this study.%為了解高分一號衛星(GF-1)圖像的應用性能和查明中印邊境楚魯松杰村一帶的地質災害發育規律,利用DEM和GF-1圖像對該地區的巖性、構造和地質災害進行詳細的遙感解譯。研究結果表明,GF-1數據的融合圖像對災害體的微地貌形態反映較明顯,能夠用于識別地質災害體的位置、邊界范圍等特征信息；區內地質災害類型主要為滑坡和寒凍風化碎屑流等,滑坡、崩塌、泥石流多發生在[25°,35°]坡度段內,而寒凍風化碎屑流的發生則與坡度的增大成正相關；地質災害運移方向與主構造線方向、基巖層面傾向基本一致。研究還揭示出該區內分布多級河流階地,較大的垂直落差及豐富的第四系松散堆積物是地質災害發育的重要因素。
    • 摘要：＂第二十屆中國遙感大會＂擬定于2016年8月在深圳市召開。會議由中國遙感委員會、深圳市人民政府主辦,中科遙感科技集團、深圳大學承辦,國際光學工程學會（SPIE）、亞洲遙感協會（AARS）、國際數字地球學會（ISDE）國際協辦,國家遙感中心、中國宇航學會遙感專業委員會、中國測繪學會攝影測量與遙感專業委員會、中國地理學會環境遙感分會、中國地質學會遙感地質專業委員會、中國海洋學會-中國海洋湖沼學會海洋遙感專業委員會、
    • 摘要：以新疆維吾爾自治區精河流域綠洲為研究區,基于CLUE_S模型,運用logistic逐步回歸法選擇鐵路、公路、水渠、河流、湖面及居民點驅動因子,利用1972年和1990年2期土地利用數據,對研究區2010年土地利用空間分布格局進行模擬。在通過精度檢驗的基礎上,分別設置“歷史趨勢預案”和“生態保護預案”2種情景模擬了研究區2025年土地利用變化空間分布格局。結果表明：對于干旱區綠洲小區域尺度未來土地利用的變化趨勢,CLUE_S模型具有良好的模擬能力；沒有加入任何限制區域的“歷史趨勢預案”模式下,2025年研究區生態環境將進一步惡化；堅持耕地保護制度和執行艾比湖濕地國家級自然保護區制度的“生態保護預案”前提下,2025年研究區生態環境明顯向好,土地利用率顯著增加。研究結果對干旱區綠洲及生態環境脆弱區的土地利用可持續發展具有明顯的實踐意義。%Based on CLUE-S model with digital land use images of 1972 and 1990 , the authors detected the key forces driving land use change and controlling land use pattern in Jinhe watershed of Xinjiang from such biophysical and socioeconomic factors as railways, highways, canals, rivers, Aibi Lake and residents by using logistic stepwise regression method. With the analytical data obtained, the CLUE-S model suitable for modeling the study area was constructed in 2010 . Also this result was validated by the Kappa index 0 . 82 . Then two scenarios of land -use spatial allocation in Jinhe watershed in 2025, namely, “historical development trend scenario” and “ecology -priority scenario”, were established through designing different restrictions on land-use transition when CLUE-S model was performed in GIS environment. Some conclusions have been reached:CLUE-S model is a powerful tool to simulate land-use spatial distribution trend in the future at the arid regional scale;In the historical development trend scenario, the ecological environment will be further deteriorated in 2025; In the ecology-priority scenario, the ecological environment will be optimized, and the land utilization rate will be raised too. The results obtained by the authors will be of use to sustainable development of land-use in arid oasis and other environmental fragile zones.
    • 摘要：Gross domestic products ( GDP) can represent the economic development conditions of a region, and it is significant for poverty alleviation work to build the GDP spatial databases with high precision. In this paper, a regression model for DMSP/OLS night light data and GDP values in poverty areas was established in groups, and the GDP in continuous poverty areas were retrieved from the night light data. Then the GDP was divided into two parts. One is the GDP of primary industry, and the other is the GDP of second and tertiary industry. Finally, a spatial model for GDP of primary industry was established based on land use data and, in addition, the spatial model for GDP of other two kinds of industries was also built based on night light data. According to the results obtained, the estimation results of GDP are more accurate in most counties;the correlation coefficient between the estimated values and true values is 0 . 873 8 at the county level;the continuous poverty areas almost consist of GDP low-density areas;nevertheless, there are a few GDP high-density areas concentrated in towns;the GDP of most continuous poverty areas is less than 500 000 yuan per square kilometer except for the center of town poverty areas, and the GDP is even less than 50 000 yuan per square kilometer in the northwest territories. The economic status can be well reflected by the density distributions map of GDP in poverty areas, which can provide data support for poverty alleviation work.%國內生產總值( gross domestic product, GDP)能反映一個國家或地區的經濟發展狀況,構建高精度的特困區GDP空間數據庫對扶貧工作的開展具有重要意義。首先通過建立DMSP/OLS夜間燈光數據與連片特困區GDP的回歸模型,實現利用夜間燈光數據估算特困區GDP；然后分別對第一和第二、三產業GDP進行空間化建模：第一產業GDP與土地利用數據相結合建模,第二、三產業GDP與夜間燈光數據相結合建模。研究結果表明,大部分特困區GDP的估算結果較為準確,縣級尺度的估算精度達到87.38%；連片特困區多為GDP低密度區,GDP基本處于50萬元/km2以下,西北地區甚至出現大片低于5萬元/ km2。因此,高精度的連片特困區GDP密度分布圖能夠準確地反映特困區經濟分布狀況,為扶貧工作的開展提供數據支持。
    • 摘要：Land and resources sharing project urgently demands data conversion from MapGIS to ArcGIS. However, the current conversion methods often require a large quantity of tedious graphical editing work for the transformed data. Based on an in -depth analysis of MapGIS and ArcGIS data format and using two platform development packages, the authors developed simple data conversion tools and ArcGIS extension plug - in components and formulated a set of efficient conversion schemes. The application of the scheme to the map data of Yunnan geological disaster investigation has obtained very good effect.%國土資源科學數據的共享工程迫切需要實現MapGIS數據格式向ArcGIS數據格式的轉換。目前的轉換方法往往需要對轉換后的數據進行大量繁瑣的圖形編輯工作。通過對MapGIS和ArcGIS這2個平臺的數據格式深入分析后，利用平臺提供的開發包開發了簡易的數據轉換工具以及ArcGIS擴展插件，制定了一套高效率轉換方案，并在“云南地質災害詳細調查”地圖數據處理工作中進行實際應用，取得了很好的效果。
    • 摘要：In view of the problem that current methods cannot reach a good balance between capability of discrimination, utility and computational complexity, the authors have proposed in this paper an algorithm based on hierarchical feature description. Firstly, simple shape or geometrical features are extracted to get rid of large numbers of false-alarm targets based on weighted voting. Secondly, complex discrimination features are selected to form the optimal feature set by feature separation. And then the feature set is used to support vector machine to get the real ship target. Experimental results show that the proposed algorithm in this paper, which extracts hierarchical features to certain regions identified, can effectively eliminate false alarms, reduce the amount of computation, and improve accuracy and efficiency of discrimination, and can also reduce the influence of external factors, remove false alarm and reserve the targets effectively, with time spending being only 1/3 of the common method.%針對當前一些目標鑒別方法無法兼顧目標的可分性和方法的有效性，同時又能減少計算的復雜度等要求，提出了一種基于分層特征描述的鑒別方法。首先，提取目標的簡單形狀或幾何特征，利用加權投票法初步篩選并去除大量易識別的虛警；然后對篩選的候選目標提取更為復雜的鑒別特征，利用特征分離法選擇最優特征組合，并采用支持向量機方法進行二次鑒別，進一步去除虛警，得到真實目標。實驗結果表明，該方法對目標的整體檢測效果較好，具有較高的可區分性和可鑒別性；能有效減少計算的復雜度，同時又能在一定程度上減少外界因素的影響，有效地去除虛警、保留目標，其耗時僅為常用方法的1/3。
    • 摘要：So far forest fire monitoring is only confined to single channel polarimetric amplitude data before and after fire or the utilization of the amplitude of the fully polarimetric SAR after fire, and less research have been conducted from the viewpoint of applying change of the scattering mechanism by forest fire to monitoring forest fire by using fully polarimetric SAR. In this paper, the authors analyzed a forest fire that occurred in 2009 in Alaska, used Radarsat-2 fully polarimetric SAR data obtained before and after the fire and, from the aspect of forest fires changing backscatter intensity and changing forest scattering mechanisms, quantitatively analyzed the intensity of each polarization channel, the dominant scattering mechanism and depolarization parameters and gave reasons for each change. The results obtained by the authors show that, for boreal forests after fire, the backscatter intensity increased by 20% in co-pol channels, and cross-pol channel increased slightly, that forest dominant scattering mechanism changed from volume scattering accounting for 59% before the fire to surface scattering accounting for 53% after the fire, and that depolarization of forests was reduced by 45% in comparison with things before fire. These conclusions have reference values for applying multitemporal polarimetric SAR data to mapping forest fire scar or monitoring burn severity.%目前,利用合成孔徑雷達( synthetic aperture Radar,SAR)影像進行林火監測主要限于從林火前后時相的單極化通道振幅數據或者火后全極化影像振幅數據開展,而從林火對森林散射機制改變角度開展多時相全極化SAR林火監測的研究還較少。以2009年阿拉斯加地區發生的林火為例,以林火發生前后獲取的Radarsat-2全極化影像為實驗數據,從林火所改變的森林后向散射強度和散射機制角度,對林火發生前后各個極化通道后向散射強度、主導散射機制和去極化作用參數進行了定量分析,并對變化原因給出了解釋。研究表明,對于北方森林,林火發生后林火干擾區的后向散射強度在同極化通道相比林火前增加了20%,交叉極化通道也有小幅增加,主導散射由林火前占59%的體散射變為林火后占53%的表面散射,去極化作用相比林火前減小45%。這些結論對于利用多時相全極化SAR數據開展林火燃燒面積或者燃燒強度監測具有參考價值。
    • 摘要：Classification optimization is a practical subject which deserves exploration. In order to study mode filter and its application to the post-processing of remote sensing classification, the authors, on the basis of detailed analysis of the principle of the nonlinear mode filter and in view of the characteristics of 2D and 3D data, developed various aspects of the filter to make it suitable for the classification of remote sensing data. Taking remote sensing image and airborne LiDAR point clouds as examples, the authors discussed the developed scheme from two respects and four respects, and the nearest neighbor Mode filter and window-based Mode filter were used to improve the classification results of the two types of data, respectively. Contrastive experimental results demonstrate that the developed Mode filters can remove the speckle and salt and pepper noises effectively, reduce greatly the misclassification points derived from point clouds and remote sensing image, and boost the Kappa value and overall accuracy after classification of the two data remarkably, thus achieving the desired goal.%遙感數據分類的優化問題是一個值得探討的現實課題。為研究Mode濾波器及其在遙感分類后處理中的應用，在詳細描述非線性Mode濾波器原理的基礎上，針對二維和三維數據的特點，從不同角度對濾波器進行拓展，使其能夠應用于遙感數據分類。以二維遙感圖像和三維機載LiDAR點云數據為例，分別從2個方面和4個方面對拓展方案進行討論，利用近鄰型和窗口型 Mode濾波器改善2種數據的分類質量。對比實驗結果證明，拓展后的Mode濾波器能夠有效地去除斑點和椒鹽噪聲，大大減少了點云數據和遙感圖像分類后產生的錯分類別點，顯著提高了2種遙感數據分類的Kappa值和總體精度，達到了預期目的。
    • 摘要：According to the variation of MODIS apparent reflectance caused by aerosol scattering and absorption, spectral indices for urban particulate pollution were constructed, which include difference vegetation index( DVI) , normalized difference haze index ( NDHI) , normalized difference build-up index ( NDBI) and difference build-up index ( DBI) . Relations between the indices and particle concentrations ( PM10 ) measured by the Shijiazhuang Environmental Monitoring Station were discussed. Coefficient analysis indicates that there is negative correlation between the particle concentrations and the spectral indices except NDHI. The MODIS DBI is linearly related to PM10 . The estimating model of PM10 based on several indices makes it easier to quickly monitor and evaluate atmospheric particulate pollution in urban area.%遙感特征指數法是一種簡單、高效的信息提取方法。根據氣溶膠散射或吸收引起的衛星不同波段間表觀反射率變化,構建了基于MODIS的城市大氣顆粒物污染指數,結合石家莊市各環境空氣質量站實測顆粒物濃度數據,分析差值植被指數( difference vegetation index, DVI)、歸一化灰霾指數( normalized difference haze index, NDHI)、歸一化建筑指數( normalized difference built-up index, NDBI)和差值建筑指數( difference built-up index, DBI)與PM10之間的相關關系。結果表明,除NDHI外,DVI,NDBI和DBI與大氣顆粒物質量濃度均呈現負相關關系,DBI與PM10之間線性相關關系較為明顯,綜合多種大氣顆粒物污染指數構建的大氣顆粒物質量濃度估算模型,可以用來簡便、快速地指示城市大氣顆粒物污染狀況。
    • 摘要：According to the actual demand of rural land survey base-map production, this paper puts forward the scheme of the application of UAV aerophotogrammetry to rural land survey base-map production, and analyzes the existing basis, with the emphasis placed on the base-map production process and the technical requirements that have to be attained on the basis of UAV Aerophotogrammetry. What the authors propose provides a new solution for the land ownership registration work in data-absent rural area.%針對農村土地調查工作底圖制作工作的實際需求，提出了將無人機航測技術應用于農村土地調查工作底圖生產的方案，分析了無人機應用于農村土地調查工作底圖制作的已有基礎，重點論述了基于無人機航測技術的農村土地調查底圖制作的工作流程和需要達到的技術要求，可為農村宅基地和集體建設用地確權登記發證工作提供新的解決方案。
    • 摘要：1專著（M）、學位論文（D）及報告（R）的著錄格式[序號]主要責任者.題名：其他題名信息[文獻類型標志].其他責任者（任選）.版本項（第1版不標注）.出版地：出版者,出版年：引文頁碼.如：[1]陳述彭,童慶禧,郭華東.遙感信息機理研究[M].北京：科學出版社,1998：18-20.Chen S P,
    • 摘要：為了充分利用歷史矢量數據,并考慮地物類別的時間關聯,提出了一種融合時間特征的高分辨率遙感影像分類方法。將歷史時期矢量數據與新時期遙感影像相結合,利用二次分割獲取像斑,通過支持向量機( support vector machine,SVM)算法獲取像斑類別及像斑的單時期后驗概率；依據歷史時期及新時期像斑類別屬性的關聯,獲取定量表達時間特征的地物類別轉移概率；加權組合像斑的單時期后驗概率與轉移概率,采用迭代方法獲取影像最終分類結果。在QuickBird影像上的實驗表明,該方法能夠有效引入時間特征及先驗知識,提高影像分類的精度。%In order to make full use of the vector data in the historical period and the temporal relationship of the feature classes, the authors propose a classification method based on temporal feature fusion for high spatial resolution remotely sensed imagery in the paper. Image objects are generated using subdivision based on the vector data in the historical period and the remotely sensed imagery in the present period. SVM algorithm is adopted to get the initial class and posterior probability with a single period of the object. Class transition probabilities for description of temporal feature are calculated according to the class of the image objects in the historical and present periods. The iterative method is employed to get the final classification results after weighted combination of the posterior probability with a single period and the transition probability of the image objects. The experiment on QuickBird imagery shows the proposed method can exploit the temporal feature effectively and improve the accuracy of the image classification.
    • 摘要：在復雜城區內部通常存在大量的陰影,建筑物的屋頂也有多種類型,這使得利用高分辨率遙感圖像自動提取建筑物變得困難。針對上述2個問題,提出了一種綜合利用高分辨率圖像與機載LiDAR數據的城市建筑物提取新方法。首先,對歸一化植被指數( normalized difference vegetation index,NDVI)和LiDAR高度數據設定閾值得到初步的建筑物提取結果；然后,分別利用陰影區 NDVI、圖像紋理和形態學濾波來改進結果；最后,采用局部的機載LiDAR數據和QuickBird圖像,對提出的方法進行驗證,并與現有方法進行比較。研究結果表明,該方法可有效減少由陰影和不同屋頂特征所造成的錯誤識別,顯著提高了建筑物提取精度。%The occurrence of shadow and diverse building roofs in complex urban areas makes it difficult to extract building automatically using very high resolution ( VHR ) imagery over these areas. In order to solve these two problems, this paper proposed a novel method for building extraction using airborne LiDAR data and VHR imagery. The buildings were initially extracted by thresholding the normalized difference vegetation index ( NDVI) image and LiDAR height data. The initially obtained result was then refined by using NDVI image over shadow areas, image texture and morphological filtering. The proposed method was quantitatively evaluated and compared with existing methods using airborne LiDAR data and QuickBird image of Nanjing City, China. The results indicated that the proposed method effectively reduced the extraction errors caused by shadow and diverse building roof and significantly improved the accuracy of building extraction.
    • 摘要：為了解安寧河流域生態環境脆弱性情況，以衛星遙感圖像作為主要信息源，以人口密度、國內生產總值、土地利用、土壤類型、高程、坡度、氣溫、降水、植被指數作為評價指標，綜合運用地理信息系統技術和投影尋蹤算法，構建空間投影尋蹤模型，進而對安寧河流域生態環境脆弱性進行評價。以分析結果為依據，將研究區生態環境脆弱性劃分為5個等級，分別是重度脆弱、中度脆弱、輕度脆弱、微度脆弱和潛在脆弱。研究結果表明，研究區生態脆弱性整體上屬中等脆弱等級。由于生態環境保護政策的實施和地區人民對于生態環境保護意識的提高，研究區2013年相對于1993年，生態環境總體有所改善。%In this study, the authors used satellite remote sensing image as the primary source of information while collecting additional data, and selected some indicators as assessment indexes such as population density, gross domestic product ( GDP) , land use, soil type, elevation, slope, temperature, precipitation, and vegetation index. Eco-environment vulnerability of Anning River Basin was evaluated by using the space projection pursuit model built by GIS technology and the projection pursuit algorithm. According to analytical results, eco-environmental vulnerability degrees in the study area were divided into five grades, i. e. , heavy, medium, light, slight and potential. Through analyzing the evaluation results of environmental vulnerability in 1993 and 2013, the ecological vulnerability of the study area was moderate vulnerability on the whole. Due to the enforcement of the national policy and the improvement of people’s awareness of environmental protection, the overall ecological environment was improved from 1993 to 2013 in the study area.
    • 摘要：火星兩極冰蓋每年季節性消融的空間范圍變化是火星全球及區域氣候變化最直觀的反映，針對火星冰蓋監測提出了一種利用歐空局火星快車搭載的OMEGA高光譜成像數據提取季節性冰蓋消融線的方法。基于28至29火星年覆蓋火星北半球6個時段的OMEGA紅外波段影像，利用監督分類方法辨別冰層與裸地，以提取季節性冰蓋的邊界，計算了火星北半球季節性冰蓋消融速度，并利用高分辨率HiRISE 數據驗證了本文研究方法的正確性。研究結果表明，火星北極季節性冰蓋的消融速度是每隔太陽經度(LS)10°冰層消融106 km2；通過對比MOLA激光高度計數據和地形數據，發現局部區域冰蓋消融異常原因主要為撞擊坑引起的地形變化所致。%The spatial variation extent of the annual seasonal melt of Martian polar ice caps is the most direct reflection of Mars global and regional climate changes. A method that utilizes hyperspectral images from OMEGA spectrometer on board ESA Mars Express for monitoring Mars ice cap by extracting seasonal ice cap ablation line is proposed in this study. Based on OMEGA infrared images from 6 periods of Martian year 28 and 29 that cover Martian northern hemisphere, the boundary of seasonal ice cap was extracted by supervised classification method which can distinguish between ice and bare land, and the melting rate of seasonal ice cap was also calculated and analyzed, with validation from high resolution HiRISE images. The results show that the melting rate of Martian northern polar ice cap is about 106 km2 every 10° solar longitude (LS). In addition, the comparison between the results and the terrain data from MOLA reveals that the regional abnormality of ice cap melting is mainly caused by the crater-induced topographic variation.
    • 摘要：Through geological interpretation and alteration anomaly information extraction with remote sensing, rapid pre-selection of large ore concentration areas and delineation of potential mineralization areas can be carried out. In this paper, with the Hongshui River region of the East Kunlun metallogenic belt as a case study, by using WorldView-2 remote sensing images as major data source and adopting methods of image rectification, false color composition, image enhancement, data fusion, alteration anomaly information extraction, field validation, chemical analysis and geological integrated analysis, the authors predicted the potential regions of mineral resources. The results show that the remote sensing technology using high resolution satellite images can be used as an effective method for detection of potential mineral resources enrichment region, which can meet the requirements of mineral resources exploration and assessment in the arid and semi-arid regions in West China and provide the basic data and reference for the deployment of mineral resources exploration.%為研究高分辨率(簡稱“高分”)遙感衛星數據在東昆侖成礦帶找礦預測中的應用，通過遙感地質解譯與蝕變異常信息提取，從宏觀和多角度開展大型礦集區快速預選和找礦有利地段圈定。以東昆侖成礦帶紅水河地區為研究區，以WorldView-2衛星圖像為主要數據源，通過運用圖像糾正、假彩色合成、圖像增強、數據融合、遙感蝕變異常信息提取、野外驗證、化學分析和地質信息綜合研究等方法，對研究區進行了遙感地質解譯和找礦預測。結果表明，以高分遙感衛星數據為主的數據源，能夠快速圈定找礦有利地段，滿足我國西部干旱—半干旱地區的礦產資源勘查和資源評價需求，并為當地礦產勘查工作部署提供基礎資料和參考依據。
    • 摘要：NDMI ( normalized difference moisture index ) is widely used to assess and retrieve vegetation liquid water content. In this study, decision tree method was employed to automatically extract mangrove forests information combining the NDMI and MNDPI ( modified normalized difference pond index) , modified according to the mangrove characteristics, with Landsat8 OLI imagery acquired at Shankou mangrove national ecosystem nature reserve in Guangxi. The research results show that mangrove forests spectra consist of vegetation and wetland characteristics due to the unique near-shore coastal habitat of mangrove forests. MNDPI and NDMI can represent the spectral contrast between shortwave infrared region and visible region, near infrared region respectively. Therefore, the two spectral indices can successfully be employed to extract wetland vegetation and effectively discriminate mangrove forests from other land cover types. The decision tree method effectively extracted mangrove forests information by combining the classification features of MNDPI and NDMI and using Landsat8 OLI remotely sensed data. The commission error and omission error of mangrove forests were 5. 34% and 1. 69% respectively.%基于廣西山口國家紅樹林生態自然保護區的Landsat 8 OLI 影像數據,選用廣泛應用于植被液態水含量反演的歸一化差值濕度指數( normalized difference moisture index,NDMI)和修正的歸一化差值池塘指數( modified normal-ized difference pond index, MNDPI)作為分類特征,運用決策樹方法進行紅樹林信息的自動提取。研究結果表明：紅樹林獨特的濱海濕地生境特點,使其光譜同時包含植被和濕地信息； MNDPI和NDMI可分別反映可見光-近紅外波段反射率同短波紅外波段反射光譜的反差,可成功應用于濕地植被信息的提取,能有效地將紅樹林同其他地物相區分；采用Landsat8 OLI遙感數據,并結合NDMI和MNDPI分類特征構建的決策樹模型可有效地提取紅樹林信息,其錯分率和漏分率都較低,分別為5.34%和1.69%。
    • 摘要：利用多光譜遙感影像進行植被覆蓋分類是目前遙感技術應用的熱點研究領域之一。在廣泛調研文獻的基礎上，綜述了近年來多光譜遙感影像植被分類研究現狀和進展，較全面深入地分析了各種植被分類特征、分類算法的優缺點、適應性和應用情況，指出了當前面臨的難點和挑戰，并對未來發展趨勢進行了展望。未來多光譜遙感影像的植被分類不僅要從分類算法上進行創新，提高分類器的自動化程度、分類效率和學習速度，擴大適用范圍，增強魯棒性，而且同樣不能忽視對植被分類新特征的挖掘，提高特征的可分性，融合多源數據、利用多時相影像、挖掘更多新特征參與植被分類是未來的發展趨勢。%Vegetation cover classification using multispectral remote sensing imagery is a hot research area, in which various new methods emerge endlessly. On the basis of reading a large number of references, the authors summarized in this paper the status and progress of vegetation cover classification with multispectral remote sensing imagery , analyzed advantages and disadvantages, adaptation and application of each vegetation classification feature and method, pointed out current difficulties and challenge, and predicted future development trend. The analysis suggests that future vegetation cover classification of multispectral remote sensing imagery needs not only innovation of classifier in the aspects of improvement of automation, efficiency, learning rate, adaptation and robustness, but also feature mining of vegetation classification. For the purpose of enhancing such aspects as using feature reparability and fusing multisource data, the adoption of multi -temporal images and the tapping of more new features in vegetation classification seem to be future trends.
    • 摘要：高光譜遙感數據能夠提供比多光譜遙感數據更為豐富的光譜信息,從而更精確地刻畫地物的光譜特征。在水體遙感原理基礎上,采用自適應波段選擇(adaptive band selection,ABS)方法對HJ-1A衛星高光譜數據的波段相關性和信息量進行分析,結合BP神經網絡技術確定最優波段組合并構建鹽湖礦物離子含量的反演模型,對柴達木盆地西臺吉乃爾湖的K+,Mg2+,Na+,Cl-和SO2-4離子含量進行定量反演,獲得鹽湖礦物離子含量的空間分布情況。研究結果表明,BP神經網絡反演模型的鹽湖礦物離子含量反演精度在85%以上,反演得到的礦物離子含量的分布情況與實地調查結果基本一致。因此,利用高光譜數據和BP神經網絡可以對鹽湖礦物資源進行大范圍動態監測,為鹽湖資源的合理開發和高效利用提供科學依據。%Hyper-spectral remote sensing data can provide more spectral information and describe the spectral signature of salt lake more accurately than multi -spectral remote sensing data. Based on the theory of remote sensing on water, the authors analyzed the band correlation and information of HJ-1A satellite hyper-spectrum image by using adaptive band selection( ABS) method. Combined with BP neural network techniques, the authors determined the optimal band combination, established the retrieval models for mineral ions salinity of salt lake, quantitatively determined the salinities of K+, Mg2+, Na+, Cl-, SO2-4 ions of west Taijinar Salt Lake in Qaidam Basin, and acquired the spatial distribution siuation of mineral ions salinity. The results show that the forecast accuracy of BP neural network models are exclusively higher than 85%, the spatial distribution of mineral ions content of salt lake is consistent with the result of field survey. The research confirms that the correlation of BP neural network and domestic hyper-spectral remote sensing data can be used to monitor the mineral resource of salt lake dynamically, thus providing the scientific foundation for the reasonable development and efficient utilization.
    • 摘要：以合成孔徑雷達差分干涉測量（DInSAR）技術獲得的同震形變數據為約束，基于彈性位錯模型反演獲得發震斷層的幾何、運動參數（也稱滑動參數），對于了解震區斷層活動特征和評估潛在災害風險具有重要意義。現有的斷層滑動參數反演多是基于矩形位錯元的均勻剖分或人為設定剖分，所得結果易出現“偽滑動”和滑動分布過于平滑的問題，不足以精確地反映斷層面上的滑動細節。為此，引入斷層自動剖分方法。該方法兼顧了模型殘差最小化與平滑最優原則，在形變數據的有效約束下獲得可靠解。以巴姆地震為例反演獲得斷層的幾何參數與滑動參數。實驗結果表明，對于單斷層的滑動參數反演，應用斷層自動剖分方法可獲得較可靠的結果。%The inversion of geometry and motion parameters of the seismogenic fault based on elastic dislocation model and constrained by coseismic deformation data obtained by DInSAR has great significance for understanding the activity characteristics of the fault and assessing the risk of potential disasters .The existing inversion methods of fault slip parameters are mostly based on the uniform discretization with rectangular dislocation units or artificially setting discretizaiton , which will lead to “pseudo-slip” or the phenomenon that the slip distribution is too smooth to reflect the slip details on the fault plane .Therefore , the automated fault model discetization method is introduced in this paper , which takes into account the principle of the minimized residuals and the optimal smoothing scales of the model , so the reliable solution can be obtained under the effective constraints .The inversion of geometry and slip parameters of fault in Bam earthquake is taken as an example .The experimental results show that using the automated fault model discretization method to invert the motion parameters of the single fault can generate reliable results.
    • 摘要：Clouds and their shadows in the remote sensing images are the key factors that influence the application of the data in many fields .Several methods , such as constructing cloud mask , replacement of the pixels , linear mixture spectral analysis , and principal component analysis , have been proposed in the past decades to solve this problem.In this research, based on the analysis of spectral curve , the authors utilized Decision Tree (DT)classifier and Random Forest ( RF) classifier to obtain the cloud -shadow-water mask.There was little difference between the spectral curve of shadow and water due to the mixture of shadow and other surface materials such as vegetation and impervious surface .In this case , the DT classifier could not effectively distinguish shadow and water because the decision rule and threshold were determined by analyzing the spectral curves of different samples .RF classifier was based on the ensemble of the results derived from multiple decision tree classifiers , which was more robust than one decision tree classifier .In this study , when there were only a few training samples , results that were more accurate were derived from RF classifier compared with the results from DT classifier .When the size of training samples lay in the range of 250 and 400 , no significant difference was found between the results derived from these two algorithms.This indicates that RF classifier could be used to deduce the cloud -cloud shadow -water mask successfully .%遙感圖像數據中云和云陰影的存在是影響數據應用的主要原因，專家已經研發了多種去除云及其陰影的方法。在對不同目標像元光譜曲線分析的基礎上，研究了基于隨機森林（random forests，RF）分類器的云－云陰影－水體掩模建立方法。由于云陰影是陰影與地表物體的疊加，其光譜曲線與水體的光譜曲線之間存在細微的差別，這使得決策樹（ decision tree ，DT）分類方法不能非常有效地應對這種細微差別。 RF分類器是建立在多個DT分類結果集成的基礎上，其算法原理保證了該算法的穩健性和有效性。研究結果表明：在樣本容量較少時，RF算法比DT具有更好的分類效果；而在樣本容量增大到250～400個像元時，2種方法的分類效果沒有明顯區別。這表明RF算法可以成功地用于建立云－云陰影－水體掩模，這將在遙感數據處理中得到更加廣泛的應用。
    • 摘要：東烏珠穆沁旗（簡稱“東烏旗”）地區位于內蒙古二連浩特—東烏旗成礦帶與大興安嶺成礦帶交匯部位，地質構造及成礦條件復雜。以該區域遙感信息為基礎，并結合地質、物探、化探綜合信息的研究表明，除NE—NEE向構造外，該區還存在大量的NW向構造，特別是在東烏旗—翁圖一線存在1條重要的NW向構造帶。沿該NW向構造帶見有斷續分布的遙感線性構造特征，它是該地區重要的磁場、重力場和地球化學場梯度變化界線，對中生代火山沉積建造的形成和區域成礦具有重要意義；構造帶以東地區，中生代巖漿活動強烈，成礦條件優越，主要以尋找鉛鋅銀、鎢和鐵礦等礦種為主；構造帶以西地區，中生代巖漿活動明顯減弱，找礦主要以銅、鉬和鉻鐵礦為主。在找礦工作中，應高度重視NE與NW向構造交匯部位及與NW向構造密切相關的地球化學異常。%The Dong Ujimqin Banner area is located at the junction between the metallogenic belt from Erlian to Dong Ujimqin Banner and Da Khingan Mountains metallogenic belt , with complicated geological structures and mineralization conditions .The results of structural interpretation by integrated regional geological , geophysical , geochemical and remote sensing data show that there are many NW -trending faults in the area , apart from NE-NEE-trending structures .The most noticeable one is the NW -trending deep fault line along the section from Dong Ujimqin Banner to Wongtu .Discontinuous linear features are interpreted by remote sensing along this major fault line , which are the gradient variation boundaries of aeromagnetic field , gravity field and geochemical field gradient in this fault zone . This major fault obviously played a significant role in the process of Mesozoic sedimentation and mineralization in this area: to the east of fault line , there existed strong activity of Mesozoic magmatism, favorable conditions for mineralization , and potential of lead -zinc-silver, tungsten and iron;to the west of the fault line , Mesozoic magmatic activity was obviously weakened , and prospecting should be mainly targeted for copper , molybdenum and chromite .In prospecting , attention should be paid to the NE and NW trending structural intersection which is closely related to geochemical anomaly areas .
    • 摘要：遙感影像的大氣校正是遙感定量化研究的難點之一。以曹妃甸近岸海域為研究區，以水體懸浮泥沙濃度（suspended sediment concentration ，SSC）定量反演為目標，采用6S（second simulation of the satellite signal in the solar spectrum）模型和FLAASH模型對研究區MODIS影像的大氣校正方法進行對比實驗，對2個模型校正前后的影像質量以及對目標地物信息的校正效果進行了評價。研究結果表明：2種模型均能在一定程度上削弱大氣對水體信息的影響；相比之下，6 S模型校正后影像質量優于FLAASH模型，能更真實地反映目標地物，可更好地實現對近岸海域遙感影像的高精度大氣校正；將6S模型大氣校正后的MODIS影像應用于懸浮泥沙濃度的遙感反演，反演結果的平均相對誤差為24．79％，均方根誤差為4．32 mg／L。研究結果可為近岸海域Ⅱ類水體大氣校正方法的選擇提供依據，為深化泥沙運移規律研究及水質、水環境評價提供技術支持。%The atmospheric correction of remote sensing image is one of the difficulties in quantitative remote sensing research .In this paper , aimed at the suspended sediment concentration ( SSC ) levels retrieval in the Caofeidian offshore area , the authors performed a comparative test on atmospheric correction of MODIS image of the study area by 6 S and FLAASH models , and then evaluated the corrected image quality and the correction effects of target information ( normalized water index , NDWI ) .The results show that these two models could reduce the atmospheric effect on remote sensing information of water body to some extent .By comparison , the corrected image quality by 6S is better than that by FLAASH and could more truly reflect the target information; therefore, 6S model can better perform atmospheric correction of remote sensing images with a high precision in coastal waters . Subsequently , the MODIS image after atmospheric correction by 6S was applied to invert the SSC in the study area , and the inversion results show that the average relative error ( MRE) and the root-mean-square error ( RMSE) are 24.79 %and 4.32 mg/L, respectively.The results can provide a basis for the selection of atmospheric correction methods in caseⅡwaters, thereby laying a foundation for the study of sediment transport law as well as evaluation of water quality and water environment .
    • 摘要：Landscape limited forms of land use and land use type influence the formation and evolution of the landscape .In view of that relationship , this paper proposes an object -oriented land use/land cover classification method.Taking Anshun City with diverse karst landform types as an example and using 2010 TM images as the basic data source , the authors divided the test data according to different scale response characteristics of different karst landforms combinations and with multi -scale segmentation technology .Using DEM data and the derivative features such as slope , relief amplitude , and surface incision and establishing membership functions determining the threshold, the authors extracted the karst landform information .Then, on the basis of landform types and according to the landuse characteristics of different landform types , the authors divided landuse types by using nearest neighbor analysis .Overall classification precision reached 87.35%.Finally, the distribution characteristics of landform and land cover were discussed on the basis of the classification results .The results show that the landform types in the study area are mainly peak cluster valley and peak cluster depression , with a few karst pimple plains and hoodoo basins .Land cover types are mainly shrubs and dry land , which account for 25.58%and 20. 74%of total area respectively .%地貌限制土地利用形式，土地利用類型又影響著地貌的形成與演化，基于以上關系提出一種輔以地貌類型的面向對象土地利用信息提取方法。以喀斯特地貌類型分布多樣的安順市為例，選取2010年的TM影像作為基本的數據源。首先，根據不同喀斯特地貌組合的尺度響應特征對試驗區影像進行多尺度分割；進而利用數字高程模型（ digital elevation model ，DEM）數據以及衍生的坡度、地形起伏度和地表切割深度等特征，建立隸屬度函數提取喀斯特地貌信息；最后，以地貌類型為基本分類單元，根據不同地貌類型的土地利用特點，采用面向對象的分類方法對土地利用信息進行提取。結果表明：面向對象的分類方法可以對喀斯特地貌類型進行自動提取，試驗區地貌類型主要以峰叢谷地、峰叢洼地為主，峰林溶源與峰林盆地分布較少。土地利用類型以灌木與旱地為主，分別占總面積的25．58％和20．74％，土地利用信息提取總體精度達到87．35％。

      國土資源遙感的期刊信息

      • 曾用名：地質遙感
      • 創刊時間：1988
      • 地區：CN
      • 語言：中文
      • 熱門主題：中國自然資源航空物探遙感中心
      • 學科分類： 自動化技術、計算機技術(除計算機網絡、安全保密）;

      國土資源遙感的獲獎情況

      • ? 2012年獲“第二屆全國優秀測繪期刊獎”
      • ? 2007年獲“首屆優秀測繪期刊”一等獎
      • ? 2000年獲“首屆“CAJ-CD規范”執行優秀獎”

      國土資源遙感的收錄情況

      • ? 文摘雜志
      • ? 北大核心期刊（2011版）
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      • ? 北大核心期刊（2017版）
      • ? 中國科學引文數據庫（2011-2012）
      • ? 中國科學引文數據庫（2013-2014）
      • ? 中國科學引文數據庫（2015-2016）
      • ? 中國科學引文數據庫（2017-2018）
      • ? 中國科學引文數據庫（2019-2020）
      • ? 日本科學技術振興機構數據庫
      • ? 烏利希期刊指南
      • ? 中國科技核心期刊

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