Results 51 to 60 of about 9,619,410 (135)

An Optimized Smoke Segmentation Method for Forest and Grassland Fire Based on the UNet Framework

Fire
Smoke, a byproduct of forest and grassland combustion, holds the key to precise and rapid identification—an essential breakthrough in early wildfire detection, critical for forest and grassland fire monitoring and early warning.
Xinyu Hu, Feng Jiang, Xianlin Qin, Shuisheng Huang, Xinyuan Yang, Fangxin Meng   +5 more
doaj   +1 more source

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

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

Evaluating the Consistency of Radiometric Cross-Calibrated TOA Radiance Products Between Landsat-8 OLI and Landsat-9 OLI2

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
As China’s space technology rapidly progresses, the frequency of remote sensing satellite launches has significantly increased, elevating the demand for data consistency in integrated multiple sensors’ applications.
Qilong Zhou, Hongzhao Tang, Wei Chen, Chenchao Xiao   +3 more
doaj   +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

Land Surface Albedo Estimation and Cross Validation Based on GF-1 WFV Data

, 2022
The land surface albedo (LSA) represents the ability of the land surface to reflect solar radiation. It is one of the driving factors in the energy balance of land surface radiation and in land–air interactions. In this paper, we estimated the land
Wenrui Fan, Wu Ma, Hongmin Zhou, Jindi Wang, Zhe Wang   +4 more
core   +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

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

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

ENHANCED U-NET ALGORITHM FOR TYPICAL CROP CLASSIFICATION USING GF-6 WFV REMOTE SENSING IMAGES

Engenharia Agrícola
Accurate crop classification, crucial for a macro-level understanding of food production, formulating relevant agricultural policies, and predicting comprehensive agricultural productivity, enables precise crop distribution.
Yinjiang Jia, Hao Lan, Renshan Jia, Kang Fu, Zhongbin Su   +4 more
doaj   +1 more source