Results 51 to 60 of about 31,403,888 (130)

A Comparison of Random Forest Algorithm-Based Forest Extraction with GF-1 WFV, Landsat 8 and Sentinel-2 Images

, 2022
Forests are an essential part of the ecosystem and play an irreplaceable role in maintaining the balance of the ecosystem and protecting biodiversity.
Xiaomei Zhang, Tengfei Long, Guizhou Wang, Xueli Peng, Guojin He, Wenqing She, Ranyu Yin   +6 more
core   +1 more source

Automated Water Classification in the Tibetan Plateau Using Chinese GF-1 WFV Data

, 2017
The unique climate and topography of the Tibetan Plateau produce an abundant distribution of lakes. These lakes are important indicators of climate change, and changes in lake area have critical implications for water resources and ecological conditions.
Yang Gao, Yanbin Lei, Yang Xiang, Guoxiong Zheng, Junli Li, Guoqing Zhang   +5 more
core   +1 more source

Comparative Analysis of GF-1 WFV, ZY-3 MUX, and HJ-1 CCD Sensor Data for Grassland Monitoring Applications

, 2015
The increasing number of Chinese sensor types used for terrestrial remote sensing has necessitated an additional effort to evaluate and standardize the data they acquire.
Ranran Yang, Yuan Sun, Yanjun Yang, Xiaofei Mi, Lei Wang, Yang Zhou, Qingjiu Tian   +6 more
core   +1 more source

Response of Different Band Combinations in Gaofen-6 WFV for Estimating of Regional Maize Straw Resources Based on Random Forest Classification

, 2021
Maize straw is a valuable renewable energy source. The rapid and accurate determination of its yield and spatial distribution can promote improved utilization.
Huan Li, Renjie Dong, Huawei Mou, Yuguang Zhou   +3 more
core   +1 more source

High Resolution Albedo Estimation with Chinese GF-1 WFV Data

, 2018
Land surface albedo (LSA) is an important parameter charactering the land surface energy balance. The prevailing LSA products have supplied a well understanding of the global weather change but for regional use, it is difficult to capture the patch-size ...
Liang, Shunlin, Wang, Jindi, He, Tao, Ni Hu, Hongmin Zhou, Jindi Wang, Tao He, Shunlin Liang, Zhou, Hongmin, Hu, Ni   +9 more
core   +1 more source

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

, 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,
Changmiao Hu, Lianzhi Huo, Hao Chang, Xin Fan   +3 more
core   +1 more source

Estimation of grassland use intensity based on the generated high-resolution daily land surface reflectance dataset with GF-6 WFV and HLS

Geo-spatial Information Science
Recently, grassland ecosystems’ productivity and ecological service capacity have declined due to human activities and natural changes, and ecological and environmental problems such as grassland degradation and land sanding have become hot issues of ...
Hanwen Cui, Xiaosong Li, Bin Sun, Guangbin Yang, Ziyu Yang, Chaochao Chen, Licheng Zhao   +6 more
doaj   +1 more source

Comparative Analysis of Chinese HJ-1 CCD, GF-1 WFV and ZY-3 MUX Sensor Data for Leaf Area Index Estimations for Maize

, 2018
In recent years, China has developed and launched several satellites with high spatial resolutions, such as the resources satellite No. 3 (ZY-3) with a multi-spectral camera (MUX) and 5.8 m spatial resolution, the satellite GaoFen No.
Chen Chen, Jing Li, Shanlong Wu, Jing Zhao, Qinhuo Liu, Hongyan Wang, Baodong Xu   +6 more
core   +1 more source

High Resolution Aerosol Optical Depth Retrieval Using Gaofen-1 WFV Camera Data

, 2017
Aerosol Optical Depth (AOD) is crucial for urban air quality assessment. However, the frequently used moderate-resolution imaging spectroradiometer (MODIS) AOD product at 10 km resolution is too coarse to be applied in a regional-scale study.
Tianhao Zhang, Kun Sun, Zhongmin Zhu, Xiaoling Chen   +3 more
core   +1 more source

Cloud and Snow Identification Based on DeepLab V3+ and CRF Combined Model for GF-1 WFV Images

, 2022
Cloud and snow identification in remote sensing images is critical for snow mapping and snow hydrology research. Aimed at the problem that the semantic segmentation model is prone to producing blurred boundaries, slicing traces and isolated small patches
Donghua Chen, Zuo Wang, Boyang Fan, Zhengyang Tu, Hu Li   +4 more
core   +1 more source