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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 ...
Mapping the Irrigation Area of Winter Wheat Farmland in North China Plain Using MODIS Remote Sensing Data
Irrigation Mapping North China Plain Agriculture Water Shortage MODIS data
2015/12/18
North China Plain is one of the most important agricultural regions in China with severe challenges of water shortage. Agriculture in the plain is very intensive. Farming in the region is a typical ir...
Fusion of MODIS and Radarsat Data for Crop Type Classification — an Initial Study
Image Fusion Image Classification Pixel-Based Object-Oriented MODIS Radarsat
2015/10/12
Agricultural land use mapping and change detection are important for environmental assessment and crop yield estimation. An
effective mapping and change detection of crop land use requires large ima...
Data Fusion for Environmental Assessment: Integrating Modis Imagery and Nexrad Weather Radar
Environment Vegetation Precipitation
2015/7/9
This paper discusses the fusion of terrestrial NEXRAD weather radar with MODIS hyperspectral imagery. Issues of data fusion
relating to the differing character of terrestrial weather radar and hypers...
AUTOMATED MAPPING OF BURNED AREAS IN SEMI-ARID ECOSYSTEMS USING MODIS TIME-SERIES IMAGERY
Bushfires Time Series Image Segmentation
2015/5/7
Understanding spatial and temporal patterns of burned areas at regional scales, provides a long-term perspective of fire processes and its effects on ecosystems and vegetation recovery patterns, and ...
MONITORING OF RAPID LAND COVER CHANGES IN EASTERN JAPAN USING TERRA/MODIS DATA
Vegetation Map National Survey of the Natural Environment
2015/5/6
Vegetation and land cover in Japan are rapidly changing. Abandoned farmland in 2010, for example, was 396,000 ha, or triple that of 1985. Efficient monitoring of changes in land cover is vital to bo...
Contribution of MODIS NDVI 250 m Multi-Temporal Imagery Dataset for the Detection of Natural Forest Distribution of Java Island, Indonesia
Java MODIS Multi-Temporal Natural Forest NDVI
2013/3/5
As landmass of the world is covered by vegetation, taking into account phenology when performing land cover classification may yield more accurate maps. The availability of no-cost Moderate Resolution...
准确及时地掌握雪情参数及其动态变化是雪灾监测与灾情评价的基础。提出了一套基于MODIS与AMSR-E遥感传感器数据的雪情参数快速提取方案。利用MODIS反射率数据与AMSR-E亮温数据,反演了新疆2010年1月初的积雪范围与积雪深度。结果表明:利用MODIS与AMSR-E数据的协同反演策略能够有效去除云层对积雪识别的影响,弥补因云层造成的地表信息缺失;同时保持较高的空间分辨率,提高雪情参数的识别精...
选用多时序MODIS数据产品和晚间灯光指数数据,采用CART数据挖掘方法和改进的Niblack 阈值分割技术,对2001-2010 年之间的浙江省城市扩张情况开展了动态监测。结果显示：在多时序数据信息挖掘的基础上,利用区域灯光指数局部阈值,可以有效地分割城镇和非城镇类型,从而提高城镇专题信息提取的精度;从2001 年到2010 年,浙江省城市扩张迅速,年平均扩张速度为297.35 km2/a,平均...