Results 11 to 20 of about 9,620,152 (184)

Evapotranspiration Everywhere, All the Time: Towards a Unified View From Earth Observation. [PDF]

Glob Chang Biol
This paper discusses the evolution and revolution of Earth observation for evapotranspiration (ET), as we advanced from the first Landsat satellite and development of ET models through the progression of increasingly higher resolution across international space agencies and commercial industry with increasing ET model sophistication, cloud computing ...
Fisher JB, Anderson MC, Miralles DG, Mallick K, Stoy PC, Ryu Y, Bastiaanssen WGM.   +6 more
europepmc   +2 more sources

Improved Cropland Abandonment Detection with Deep Learning Vision Transformer (DL-ViT) and Multiple Vegetation Indices

Land, 2023
Cropland abandonment is a worldwide problem that threatens food security and has significant consequences for the sustainable growth of the economy, society, and the natural ecosystem.
Mannan Karim, Jiqiu Deng, Muhammad Ayoub, Wuzhou Dong, Baoyi Zhang, Muhammad Shahzad Yousaf, Yasir Ali Bhutto, Muhammad Ishfaque   +7 more
doaj   +1 more source

Inversion of the hybrid machine learning model to estimate leaf area index of winter wheat from GaoFen-6 WFV imagery

Geocarto International, 2022
The leaf area index (LAI) is an important agroecological physiological parameter affecting vegetation growth and is an essential indicator for estimating crop growth.
Xiaoxuan Wang, Xiaoping Lu, Xiangjun Zhang, Zenan Yang   +3 more
doaj   +1 more source

Improving Leaf Area Index Estimation With Chlorophyll Insensitive Multispectral Red-Edge Vegetation Indices

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2023
As an essential vegetation biophysical trait that determines the plant's structure and photosynthetic capacity, characterizing of leaf area index (LAI) is important for vegetation growth and health monitoring.
Yuanheng Sun, Binyu Wang, Zhaoxu Zhang
doaj   +1 more source

Comparison of Simulated Multispectral Reflectance among Four Sensors in Land Cover Classification

Remote Sensing, 2023
Multispectral images accessible free of charge have increased significantly from the acquisitions by the wide-field-of-view (WFV) sensors onboard Gaofen-1/-6 (GF-1/-6), the Operational Land Imager (OLI) onboard Landsat 8 (L8), and the Multi-Spectral ...
Feng Chen, Wenhao Zhang, Yuejun Song, Lin Liu, Chenxing Wang   +4 more
doaj   +1 more source

Exploring the Potential of Gaofen-1/6 for Crop Monitoring: Generating Daily Decametric-Resolution Leaf Area Index Time Series [PDF]

, 2023
High spatiotemporal resolution time series of leaf area index (LAI) are essential for monitoring crop dynamics and validating coarse-resolution LAI products.
Xu, Baodong, Jingya Yang, Wang, Cong, Jing Zhao, Zhiwen Cai, Yonghua, Qu, Gaofei Yin, Li, Jing, Yang, Jingya, Yin, Gaofei, Aleixandre Verger, Verger, Aleixandre, Jing Li, Yonghua Qu, Zhang, Zhewei, Cong Wang, Zhao, Jing, Wei, Haodong, Zhewei Zhang, Cai, Zhiwen, Haodong Wei, Baodong Xu   +21 more
core   +1 more source

Extraction of fractional vegetation cover in arid desert area based on Chinese GF-6 satellite

Open Geosciences, 2021
The red edge band is considered as one of the diagnosable characteristics of green plants, but the large-scale remote sensing retrieval of fractional vegetation coverage (FVC) based on the red edge band is still rare.
Deng Zhengdong, Lu Zhao, Wang Guangyuan, Wang Daqing, Ding Zhibin, Zhao Hongfei, Xu Haoli, Shi Yue, Cheng Zijian, Zhao Xiaoning   +9 more
doaj   +1 more source

Change detection of wetland restoration in China’s Sanjiang National Nature Reserve using STANet method based on GF-1 and GF-6 images

Ecological Indicators, 2022
Wetlands are important ecosystems, and detecting changes in wetlands plays a very important role in the management of wetland resources. Therefore, we selected Sanjiang National Nature Reserve as the study area and proposed a method in which bi-temporal ...
Yulin Pan, Xiaodong Xu, Jiangping Long, Hui Lin   +3 more
doaj   +1 more source

Flood Detection Using Multiple Chinese Satellite Datasets during 2020 China Summer Floods

Remote Sensing, 2021
Multiple source satellite datasets, including the Gaofen (GF) series and Zhuhai-1 hyperspectral, are provided to detect and monitor the floods. Considering the complexity of land cover changes within the flooded areas and the different characteristics of
Lianchong Zhang, Junshi Xia
doaj   +1 more source

Application Study on Double-Constrained Change Detection for Land Use/Land Cover Based on GF-6 WFV Imageries

Remote Sensing, 2020
As a new satellite sensor of the GaoFen (GF) series, GF-6 Wide Field of View (WFV) with the resolution of 16 m has the characteristics of wide coverage, high-frequency imaging and has four new bands of two red-edge, yellow, and purple compared with GF-1 ...
Jingxian Yu, Yalan Liu, Yuhuan Ren, Haojie Ma, Dacheng Wang, Yafei Jing, Linjun Yu   +6 more
doaj   +1 more source