[HTML][HTML] ChinaCropPhen1km: a high-resolution crop phenological dataset for three staple crops in China during 2000–2015 based on leaf area index (LAI) products
Crop phenology provides essential information for monitoring and modeling land surface
phenology dynamics and crop management and production. Most previous studies mainly …
phenology dynamics and crop management and production. Most previous studies mainly …
[HTML][HTML] Deriving drought indices from MODIS vegetation indices (NDVI/EVI) and Land Surface Temperature (LST): Is data reconstruction necessary?
F ** patterns in China during 2015–2021
Multiple crop** is a widespread approach for intensifying crop production through
rotations of diverse crops. Maps of crop** intensity with crop descriptions are important for …
rotations of diverse crops. Maps of crop** intensity with crop descriptions are important for …
Evaluating the effectiveness of machine learning and deep learning models combined time-series satellite data for multiple crop types classification over a large-scale …
X Wang, J Zhang, L Xun, J Wang, Z Wu, M Henchiri… - Remote Sensing, 2022 - mdpi.com
Accurate extraction of crop cultivated area and spatial distribution is essential for food
security. Crop classification methods based on machine learning and deep learning and …
security. Crop classification methods based on machine learning and deep learning and …
[HTML][HTML] Time-frequency optimization of RSEI: A case study of Yangtze River Basin
Abstract Remote Sensing Ecological Index (RSEI) is one of the most widely used ecological
quality assessment indicators. Due to the noise caused by adverse atmoshperic conditions …
quality assessment indicators. Due to the noise caused by adverse atmoshperic conditions …
National-scale 10-m maps of cropland use intensity in China during 2018–2023
The amount of actively cultivated land in China is increasingly threatened by rapid
urbanization and rural population aging. Quantifying the extent and changes of active …
urbanization and rural population aging. Quantifying the extent and changes of active …
Detection of rice phenology through time series analysis of ground-based spectral index data
Monitoring crop phenology is of great importance for vegetation classification, yield
estimation, and irrigation and fertilization management. To test the ability of ground-based …
estimation, and irrigation and fertilization management. To test the ability of ground-based …
How cropland losses shaped by unbalanced urbanization process?
Urbanization has widely known to directly consume swaths of cropland worldwide.
Knowledge on what kinds of urbanization processes spared cropland is important for land …
Knowledge on what kinds of urbanization processes spared cropland is important for land …
Unveiling grain production patterns in China (2005–2020) towards targeted sustainable intensification
CONTEXT Long-term historical information on national-scale grain production is critical for
ensuring food security but often limited by the lack of geospatial data. OBJECTIVE This study …
ensuring food security but often limited by the lack of geospatial data. OBJECTIVE This study …
[HTML][HTML] An improved dynamic threshold method for determining the start of the vegetation greening season in remote sensing monitoring: The case of Inner Mongolia
H Li, FY Li, J Guo, X Gao - Ecological Informatics, 2023 - Elsevier
The start of the greening season (SOS) is the beginning of vegetation phenology, and its
time of occurrence affects the carbon cycle and organic matter production of the ecosystem …
time of occurrence affects the carbon cycle and organic matter production of the ecosystem …