[HTML][HTML] A 30 m annual cropland dataset of China from 1986 to 2021
Accurate, detailed, and up-to-date information on cropland extent is crucial for provisioning
food security and environmental sustainability. However, because of the complexity of …
food security and environmental sustainability. However, because of the complexity of …
[HTML][HTML] A historical reconstruction of cropland in China from 1900 to 2016
Z Yu, X Jin, L Miao, X Yang - Earth System Science Data, 2021 - essd.copernicus.org
A spatially explicit cropland distribution time-series dataset is the basis for the accurate
assessment of biogeochemical processes in terrestrial ecosystems and their feedback to the …
assessment of biogeochemical processes in terrestrial ecosystems and their feedback to the …
Continuous land cover change monitoring in the remote sensing big data era
JW Dong, WH Kuang, JY Liu - Science China Earth Sciences, 2017 - Springer
Since the late 20th century, global change issues have attracted lots of attention. As a key
component of global changes, land cover and land use information has been increasingly …
component of global changes, land cover and land use information has been increasingly …
Mapping the dynamics of winter wheat in the North China plain from dense landsat time series (1999 to 2019)
Monitoring spatio-temporal changes in winter wheat planting areas is of high importance for
the evaluation of food security. This is particularly the case in China, having the world's …
the evaluation of food security. This is particularly the case in China, having the world's …
Annual cropland mapping using reference Landsat time series—a case study in Central Asia
P Hao, F Löw, C Biradar - Remote Sensing, 2018 - mdpi.com
Mapping the spatial and temporal dynamics of cropland is an important prerequisite for
regular crop condition monitoring, management of land and water resources, or tracing and …
regular crop condition monitoring, management of land and water resources, or tracing and …
Monitoring of Cropland Abandonment Based on Long Time Series Remote Sensing Data: A Case Study of Fujian Province, China
J Wu, S Jin, G Zhu, J Guo - Agronomy, 2023 - mdpi.com
Farmland is the basis for human survival and development. The phenomenon of cropland
abandonment has seriously affected national agricultural production and food security. In …
abandonment has seriously affected national agricultural production and food security. In …
Integration of remote sensing, county-level census, and machine learning for century-long regional cropland distribution data reconstruction
Abstract The Lower Mississippi Alluvial Valley (LMAV) was home to about ten million
hectare bottomland hardwood (BLH) forests in the Southern US It experienced over 80 …
hectare bottomland hardwood (BLH) forests in the Southern US It experienced over 80 …
National-scale cropland mapping based on spectral-temporal features and outdated land cover information
The lack of sufficient ground truth data has always constrained supervised learning, thereby
hindering the generation of up-to-date satellite-derived thematic maps. This is all the more …
hindering the generation of up-to-date satellite-derived thematic maps. This is all the more …
Tracking annual cropland changes from 1984 to 2016 using time-series Landsat images with a change-detection and post-classification approach: Experiments from …
Ensuring food security has been the top priority of many regions, particularly in developing
countries in Africa. In recent decades, increasing population, together with growing food …
countries in Africa. In recent decades, increasing population, together with growing food …
Monitoring Cropland Abandonment in Southern China from 1992 to 2020 Based on the Combination of Phenological and Time-Series Algorithm Using Landsat …
Y Su, S Wu, S Kang, H Xu, G Liu, Z Qiao, L Liu - Remote Sensing, 2023 - mdpi.com
Cropland abandonment is one of the most widespread types of land-use change in
Southern China. Quickly and accurately monitoring spatial-temporal patterns of cropland …
Southern China. Quickly and accurately monitoring spatial-temporal patterns of cropland …