Results 41 to 50 of about 31,403,888 (130)

Mapping regional cropping patterns by using GF-1 WFV sensor data

, 2017
The successful launched Gaofen satellite no. 1 wide field-of-view (GF-1 WFV) camera is characterized by its high spatial resolution and may provide some potential for regional crop mapping. This study, taking the Bei'an City, Northeast China as the study
Wen-bin WU, Qing-bo ZHOU, Shu-bin LIU, Qiong HU, Miao LU, Qian SONG   +5 more
core   +1 more source

Assessing the radiometric consistency of Gaofen-6 WFV and Sentinel-2 MSI multispectral reflectance for harmonization

Geo-spatial Information Science
Harmonizing various satellite imagery could enhance Earth observation capabilities by facilitating the generation of dense time series of fine-resolution data, which is crucial for the monitoring of large-scale environmental changes. The Chinese Gaofen-6
Jiaxin Tian, Yidi Wang, Shaoxian Gong, Boyu Ren, Yunfeng Cao   +4 more
doaj   +1 more source

Artificial intelligence methods used in various aquaculture applications: A systematic literature review

Journal of the World Aquaculture Society, Volume 56, Issue 1, February 2025.
Abstract This research article presents a systematic literature review on the current state‐of‐the‐art artificial intelligence (AI) methodologies used in aquaculture applications. As the demand for seafood continues to grow, the aquaculture industry faces numerous challenges, including disease management, feeding optimization, water quality monitoring,
Thurein Aung, Rafiza Abdul Razak, Adibi Rahiman Bin Md Nor   +2 more
wiley   +1 more source

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

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

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

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

GF-1 satellite PMS data parameters.

, 2023
GF-1 satellite PMS data parameters.
Jinliang Wang (476843), Lei Liang (326409), Fei Deng (170132), Deyang Kong (500702)   +3 more
core   +1 more source

Atmospheric Correction of Satellite GF-1/WFV Imagery and Quantitative Estimation of Suspended Particulate Matter in the Yangtze Estuary. [PDF]

Sensors (Basel), 2016
The Multispectral Wide Field of View (WFV) camera on the Chinese GF-1 satellite, launched in 2013, has advantages of high spatial resolution (16 m), short revisit period (4 days) and wide scene swath (800 km) compared to the Landsat-8/OLI, which make it ...
Shang P, Shen F.
europepmc   +2 more sources

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

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

, 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.
Xinming Tang, Hanwen Xu, Lin Sun, Bo Ai, Zhen Wen, Xiaomeng Yang   +5 more
core   +1 more source