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水稻是南亚国家的主要食物来源。开展水稻种植的生长监测，对确保该地区的粮食安全和土地资源管理至关重要。近日，中科院青藏高原研究所地气作用与气候效应团队科研人员与尼泊尔科研院所（特里布文大学）合作，利用MODIS多年时间序列卫星遥感影像，分析了尼泊尔水稻栽培动态跟踪数据。
基于MODIS数据的三种模型对区域玉米生产力的估算效果
MODIS 光能利用率模型 总初级生产力
2021/4/26
总初级生产力GPP（Gross Primary Productivity，GPP）是描述陆地生态系统的关键指标，提供了全球范围内气候变化下碳元素循环的定量描述，是生态系统功能状况的重要参量，是碳循环中的关键要素，反映气候变化及人类活动对陆地植被综合影响下的结果。光能利用率LUE（Light Use Efficiency，LUE）作为总初级生产力估算模型中的关键参数，其取值受环境影响因子、时空分布差...
随着经济社会的快速发展和进步，我国湖库水体富营养化情况越来越严重.卫星遥感在水体营养状态监测方面具有重要潜力，但基于卫星遥感的全国范围内湖库水体营养状态监测和分析方面还鲜有研究.本文基于2018夏季的MODIS卫星遥感数据生产FUI指数产品，构建基于FUI水色指数的湖库营养状态评价方法，监测全国范围内144个重点湖库水体的营养状态等级.结果表明：贫营养、中营养、富营养的湖库比例分别为16%、24%...
为分析黄河源区土壤干湿状况时空格局变化，基于2007—2016年日序数第193~257天的MODIS 1 km分辨率地表温度（LST）和植被指数（NDVI）产品反演10年的温度-植被干旱指数（TVDI）。分析结果表明：2008—2010年实测土壤水分与TVDI的线性关系的相关系数达到0.7，说明TVDI可作为干旱指标有效地指示黄河源区的土壤干湿状况。在年际变化趋势上，10年间日序数第193~257...
MAPPING RICE CROPPING SYSTEM IN THE LOWER GANGETIC PLAIN USING LANDASAT 8 (OLI) AND MODIS IMAGERY
Department of Geography and Environment Vidyasagar University Midnapore India
2019/2/27
The Indo-Gangetic basin is one of the productive rice growing areas in South-East Asia. Within this extensive flat fertile land, lower Gangetic basin, especially the south Bengal, is most intensively ...
MITIGATION ATMOSPHERIC EFFECTS IN INTERFEROGRAM WITH USING INTEGRATED MERIS/MODIS DATA AND A CASE STUDY OVER SOUTHERN CALIFORNIA
MERIS MODIS Integration Interferogram correction
2018/5/15
Interferometric synthetic aperture radar(InSAR), as a space geodetictechnology, had been testified a high potential means of earth observation providing a method fordigital elevation model (DEM) and s...
RADIOMETRIC CROSS-CALIBRATION OF GAOFEN-1 WFV CAMERAS WITH LANDSAT-8 OLI AND MODIS SENSORS BASED ON RADIATION AND GEOMETRY MATCHING
Radiometric Cross-Calibration, Geometry Matching, Radiative Transfer Model, Water Vapor Effects, Synchronization Verification
2018/5/14
Cross-calibration has the advantages of high precision, low resource requirements and simple implementation. It has been widely used in recent years. The four wide-field-of-view (WFV) cameras on-board...
ANALYSIS OF ACCURACY OF MODIS BRDF PRODUCT (MCD43 C6) BASED ON MISR LAND SURFACE BRF PRODUCT – A CASE STUDY OF THE CENTRAL PART OF NORTHEAST ASIA
MODIS BRDF, model accuracy, MISR BRF, vegetation phenology, snow cover
2018/5/14
EOS/MODIS land surface Bi-directional Reflectance Distribution Function (BRDF) product (MCD43), with the latest version C6, is one of the most important operational BRDF products with global coverage....
THE RESEARCH ON THE SPECTRAL CHARACTERISTICS OF SEA FOG BASED ON CALIOP AND MODIS DATA
Sea fog Low Cloud Caliop Modis Monitoring Spectral Characteristics
2018/5/15
In view of that difficulty of distinguish between sea fog and low cloud by optical remote sensing mean, the research on spectral characteristics of sea fog is focused and carried out。The satellite las...
HOW WELL DOES SATELLITE FINE MODE AEROSOL PRODUCT VALIDATE WITH GROUND-BASED MEASUREMENTS FOR MODIS AND HIMAWARI-8?
MODIS Himawari-8 AERONET fine mode aerosol fine mode fraction
2018/5/14
Currently, the validation of MODIS and Himawari-8 aerosol products mostly focuses on AOD, but the validation of their fine mode aerosol data is limited. In this paper, 22 AERONET sites in Asia from 20...
SPATIO-TEMPORAL VARIATIONS OF SOIL WATER USE IN THE GROWING SEASON IN NORTHEAST CHINA USING MODIS DATA
Soil Water Use Gross Primary Productivity Visible and Shortwave Infrared Drought Index (VSDI) MODIS Spatio-temporal Pattern Growing Season Northeast China
2018/5/11
Water use efficiency is known as an important indicator of carbon and water cycle and reflects the transformation capacity of vegetation water and nutrients into biomass. In this study, we presented a...
SPATIAL AND TEMPORAL CHANGES OF AEROSOL OPTICAL DEPTH AND ITS DRIVING FACTORS BASED ON MODIS IN JIANGSU PROVINCE
AOD MODIS Temporal Change Spatial Autocorrelation Gravity Model Driving Factor
2018/5/14
Aerosol Optical Depth (AOD) is of great value for studying air mass and its changes. In this paper, we studied the spatial-temporal changes of AOD and its driving factors based on spatial autocorrelat...
FREQUENCY ANALYSIS OF MODIS NDVI TIME SERIES FOR DETERMINING HOTSPOT OF LAND DEGRADATION IN MONGOLIA
MODIS-NDVI Climate Parameter Time-series trend analysis Mann-Kendall
2018/5/15
This study examines MODIS NDVI satellite imagery time series can be used to determine hotspot of land degradation area in whole Mongolia. The trend statistical analysis of Mann-Kendall was applied to ...
MONITORING FARMLAND LOSS CAUSED BY URBANIZATION IN BEIJING FROM MODIS TIME SERIES USING HIERARCHICAL HIDDEN MARKOV MODEL
Urban Encroachment onto Farmland Time Series Change Detection Hierarchical Hidden Markov Model (HHMM)
2018/5/16
In this study, we proposed a method to map urban encroachment onto farmland using satellite image time series (SITS) based on the hierarchical hidden Markov model (HHMM). In this method, the farmland ...
STUDY OF MAOWUSU SANDY LAND VEGETATION COVERAGE CHANGE BASED ON MODIS NDVI
Normalized Differential Vegetation Index Vegetation Coverage Maowusu Sandy Land Maximum Value Composite Pearson Correlation Coefficient Inverse Distance Weighting
2018/5/16
This paper selected 2006-2016 MODIS NDVI data with a spatial resolution of 500m and time resolution of 16d, got the 11 years’ time series NDVI data of Maowusu sandy land through mosaicking, projection...