Results 11 to 20 of about 9,619,410 (135)

Remote Sensing of Chlorophyll-a in Xinkai Lake Using Machine Learning and GF-6 WFV Images

Remote Sensing, 2022
Lake ecosystem eutrophication is a crucial water quality issue that can be efficiently monitored with remote sensing. GF-6 WFV with a high spatial and temporal resolution provides a comprehensive record of the dynamic changes in water quality parameters ...
Shiqi Xu, Sijia Li, Zui Tao, Kaishan Song, Zhidan Wen, Yong Li, Fangfang Chen   +6 more
doaj   +2 more sources

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   +2 more sources

Combining HJ CCD, GF-1 WFV and MODIS Data to Generate Daily High Spatial Resolution Synthetic Data for Environmental Process Monitoring [PDF]

International Journal of Environmental Research and Public Health, 2015
The limitations of satellite data acquisition mean that there is a lack of satellite data with high spatial and temporal resolutions for environmental process monitoring.
Zheng Niu, Wenjiang Huang, Changyao Wang
exaly   +3 more sources

Radiometric Cross-Calibration of the Wide Field View Camera Onboard GaoFen-6 in Multispectral Bands

Remote Sensing, 2020
GaoFen6 (GF-6), successfully launched on June 2, 2018, is the sixth satellite of the High-Definition Earth observation system (HDEOS). Although GF-6 is the first high-resolution satellite in China to achieve precise agricultural observation, it will be ...
Aixia Yang, Bo Zhong, Longfei Hu, Shanlong Wu, Zhaopeng Xu, Hongbo Wu, Junjun Wu, Xueshuang Gong, Haibo Wang, Qinhuo Liu   +9 more
doaj   +2 more sources

An Improved Fmask Method for Cloud Detection in GF-6 WFV Based on Spectral-Contextual Information

Remote Sensing, 2021
GF-6 is the first optical remote sensing satellite for precision agriculture observations in China. Accurate identification of the cloud in GF-6 helps improve data availability.
Xiaomeng Yang, Lin Sun, Xinming Tang, Bo Ai, Hanwen Xu, Zhen Wen   +5 more
doaj   +2 more sources

Improving Cloud Detection in WFV Images Onboard Chinese GF-1/6 Satellite

Remote Sensing, 2023
We have developed an algorithm for cloud detection in Chinese GF-1/6 satellite multispectral images, allowing us to generate cloud masks at the pixel level. Due to the lack of shortwave infrared and thermal infrared bands in the Chinese GF-1/6 satellite,
Hao Chang, Xin Fan, Lianzhi Huo, Changmiao Hu   +3 more
doaj   +2 more sources

Exploring the potential of Chinese GF-6 images for crop mapping in regions with complex agricultural landscapes

International Journal of Applied Earth Observations and Geoinformation, 2022
Accurate and timely crop mapping is crucial for environment assessment, food security and agricultural production. However, for the areas with high landscape heterogeneity and frequent cloudy and rainy weather, the insufficient high-quality satellite ...
Tian Xia, Zhen He, Zhiwen Cai, Cong Wang, Wenjing Wang, Jiayue Wang, Qiong Hu, Qian Song   +7 more
doaj   +2 more sources

Enhancement of Cyanobacterial Bloom Monitoring in Lake Taihu Using Dual Red-Edge Bands of GF-6/WFV: Multi-Dimensional Feature Combination and Extraction Accuracy Analysis

Remote Sensing
Cyanobacterial blooms pose a serious threat to freshwater ecosystems, necessitating accurate remote sensing monitoring. Although red-edge bands show potential in terrestrial monitoring, their multi-dimensional features (i.e., spectral, textural, and ...
Yunxiao Sun, Ruolin Zhang, Chunhong Zhao, Qingyan Meng, Zhenhui Sun, Jialong Wang, Jun Wu, Yao Wang, Decai Gao, Huyi Guan   +9 more
doaj   +2 more sources

Deep Learning-Based Classification of Aquatic Vegetation Using GF-1/6 WFV and HJ-2 CCD Satellite Data

Remote Sensing
The Yangtze River Basin, one of China’s most vital watersheds, sustains both ecological balance and human livelihoods through its extensive lake systems.
Yifan Shao, Qian Shen, Yue Yao, Xuelei Wang, Huan Zhao, Hangyu Gao, Yuting Zhou, Haobin Zhang, Zhaoning Gong   +8 more
doaj   +2 more sources

A Learning-Enhanced Two-Pair Spatiotemporal Reflectance Fusion Model for GF-2 and GF-1 WFV Satellite Data. [PDF]

Sensors (Basel), 2020
Since requirements of related applications for time series remotely-sensed images with high spatial resolution have been hard to be satisfied under current observation conditions of satellite sensors, it is key to reconstruct high-resolution images at ...
Ge Y, Li Y, Chen J, Sun K, Li D, Han Q.
europepmc   +2 more sources