才能
发表于 2025-3-28 17:32:20
Assessment of Vegetation Trends in Drylands from Time Series of Earth Observation Data,iew of suitable long-term Earth Observation (EO) based datasets for assessment of global dryland vegetation trends is provided and a status map of contemporary greening and browning trends for global drylands is presented. The vegetation metrics suitable for per-pixel temporal trend analysis is disc
托运
发表于 2025-3-28 21:36:38
http://reply.papertrans.cn/83/8270/826901/826901_42.png
我没有强迫
发表于 2025-3-28 23:27:12
http://reply.papertrans.cn/83/8270/826901/826901_43.png
组成
发表于 2025-3-29 05:07:54
Assessing Rainfall-EVI Relationships in the Okavango Catchment Employing MODIS Time Series Data ando current and previous “effective” rainfall events. In this study a distributed lag model (DLM) was used to assess the impact of current and previous 16 day rainfall anomalies on the Enhanced Vegetation Index (EVI) as a proxy for ANPP in the Okavango catchment (South Africa). The two important aspec
Intractable
发表于 2025-3-29 11:19:34
http://reply.papertrans.cn/83/8270/826901/826901_45.png
不自然
发表于 2025-3-29 12:59:38
Investigating Fourteen Years of Net Primary Productivity Based on Remote Sensing Data for China,yses of NPP time-series allow for understanding temporal patterns and changes in vegetation productivity. These are especially important in rapidly changing environments, such as China, the world’s third largest country. In this study, we use the model BETHY/DLR (Biosphere Energy Transfer Hydrology
窗帘等
发表于 2025-3-29 17:10:27
http://reply.papertrans.cn/83/8270/826901/826901_47.png
figure
发表于 2025-3-29 21:59:06
http://reply.papertrans.cn/83/8270/826901/826901_48.png
Lipoprotein
发表于 2025-3-30 01:15:33
http://reply.papertrans.cn/83/8270/826901/826901_49.png
convert
发表于 2025-3-30 05:56:35
Investigating Radar Time Series for Hydrological Characterisation in the Lower Mekong Basin,ter on the radar signal. The proper monitoring and analysis of such temporally dynamic phenomena requires dense time series data. Radar time series data is also useful for mitigating uncertainties in individual images, e.g. for the mapping of permanent water bodies. This chapter reviews capabilities