[HTML][HTML] A 30 m annual cropland dataset of China from 1986 to 2021

Y Tu, S Wu, B Chen, Q Weng, Y Bai… - Earth System …, 2024 - essd.copernicus.org
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 …

[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 …

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 …

Mapping the dynamics of winter wheat in the North China plain from dense landsat time series (1999 to 2019)

W Zhang, M Brandt, AV Prishchepov, Z Li, C Lyu… - Remote Sensing, 2021 - mdpi.com
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 …

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 …

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 …

Integration of remote sensing, county-level census, and machine learning for century-long regional cropland distribution data reconstruction

J Yang, B Tao, H Shi, Y Ouyang, S Pan, W Ren… - International Journal of …, 2020 - Elsevier
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 …

National-scale cropland mapping based on spectral-temporal features and outdated land cover information

F Waldner, MC Hansen, PV Potapov, F Löw, T Newby… - PloS one, 2017 - journals.plos.org
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 …

Tracking annual cropland changes from 1984 to 2016 using time-series Landsat images with a change-detection and post-classification approach: Experiments from …

Y Xu, L Yu, FR Zhao, X Cai, J Zhao, H Lu… - Remote Sensing of …, 2018 - Elsevier
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 …

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 …