Multi-site assessment of the potential of fine resolution red-edge vegetation indices for estimating gross primary production

S Lin, D Hao, Y Zheng, H Zhang, C Wang… - International Journal of …, 2022 - Elsevier
Gross primary production (GPP) models driven by fine resolution remote sensing data
characterize the spatial and temporal heterogeneities in plant photosynthesis, which is …

High-resolution distribution maps of single-season rice in China from 2017 to 2022

R Shen, B Pan, Q Peng, J Dong, X Chen… - Earth System …, 2023 - essd.copernicus.org
Paddy rice is the second-largest grain crop in China and plays an important role in ensuring
global food security. However, there is no high-resolution map of rice covering all of China …

Reconstructing Long‐Term Forest Cover in China by Fusing National Forest Inventory and 20 Land Use and Land Cover Data Sets

X Xia, J Xia, X Chen, L Fan, S Liu, Y Qin… - Journal of …, 2023 - Wiley Online Library
As an important type of terrestrial carbon sink, forests play a critical role in offsetting
anthropogenic fossil fuel CO2 emissions which should help nations to achieve carbon …

Limited-Samples-Based Crop Classification Using a Time-Weighted Dynamic Time Warping Method, Sentinel-1 Imagery, and Google Earth Engine

X Xiao, L Jiang, Y Liu, G Ren - Remote Sensing, 2023 - mdpi.com
Reliable crop type classification supports the scientific basis for food security and
sustainable agricultural development. However, it still lacks a limited-samples-based crop …

[HTML][HTML] Artificial grassland mapping using artificial grassland detection index of vegetation growth in the Three-River Headwaters region

W Liu, B Li, Y Yuan, Y Li, Y Jiang, R Li, D Zhai, J Xu - Ecological Indicators, 2023 - Elsevier
Mapping the spatial distribution of artificial grassland for ecological restoration is of great
significance for evaluating its secondary degradation and negative consequences, such as …

A novel workflow for crop type mapping with a time series of synthetic aperture radar and optical images in the Google Earth Engine

L Guo, S Zhao, J Gao, H Zhang, Y Zou, X Xiao - Remote Sensing, 2022 - mdpi.com
High-resolution crop type mapping is of importance for site-specific agricultural management
and food security in smallholder farming regions, but is challenging due to limited data …

Mapping annual 10-m maize cropland changes in China during 2017–2021

X Li, Y Qu, H Geng, Q Xin, J Huang, S Peng, L Zhang - Scientific Data, 2023 - nature.com
China contributed nearly one-fifth of the world maize production over the past few years.
Mapping the distributions of maize cropland in China is crucial to ensure global food …

[HTML][HTML] Exploring the effects of training samples on the accuracy of crop mapping with machine learning algorithm

Y Fu, R Shen, C Song, J Dong, W Han, T Ye… - Science of Remote …, 2023 - Elsevier
Abstract Machine learning algorithms are a frequently used crop classification method and
have been applied to identify the distribution of various crops over regional and national …

A new method for classifying maize by combining the phenological information of multiple satellite-based spectral bands

Q Peng, R Shen, J Dong, W Han, J Huang… - Frontiers in …, 2023 - frontiersin.org
Introduction: Using satellite data to identify the planting area of summer crops is difficult
because of their similar phenological characteristics. Methods: This study developed a new …

Research on automatic identification of coal mining subsidence area based on InSAR and time series classification

J Xu, C Yan, MW Boota, X Chen, Z Li, W Liu… - Journal of Cleaner …, 2024 - Elsevier
Large-scale mining of coal resources has caused surface subsidence, threatening the
ecological environment and surface safety and hindering the sustainable development of …