Results 21 to 30 of about 9,620,152 (184)

A Deep Learning Method of Water Body Extraction From High Resolution Remote Sensing Images With Multisensors

open access: yesIEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2021
Water body extraction from remote sensing images is an important task. Deep learning has become a more popular method for extracting water bodies from remote sensing images.
Mengya Li   +5 more
doaj   +1 more source

The spatial-temporal consistency of chlorophyll-a and fishery resources in the water of the Zhoushan archipelago revealed by high resolution remote sensing

open access: yesFrontiers in Marine Science, 2022
Details of the chlorophyll-a (Chl-a) distribution in the water of the Zhoushan archipelago were analyzed based on data from the panchromatic multispectral sensor (PMS) of the GaoFen-6 (GF-6).
Lina Cai   +6 more
doaj   +1 more source

A Multifeature Combined Cloud-Snow Differentiation Algorithm for Gaofen-1 WFV Data Using Temperature, Temporal, and Spectral Characteristics

open access: yesIEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2023
Cloud detection plays a significant role in optical imagery, but snow has similar spectral characteristics to clouds in visible and near-infrared bands.
Qian Zhang   +8 more
doaj   +1 more source

Spatiotemporal Evolutions of the Suspended Particulate Matter in the Yellow River Estuary, Bohai Sea and Characterized by Gaofen Imagery

open access: yesRemote Sensing, 2023
Suspended particulate matter is a crucial component in estuaries and coastal oceans, and a key parameter for evaluating their water quality. The Bohai Sea, a huge marginal sea covering an expanse of 77,000 km² and constantly fed by numerous sediment ...
Zhifeng Yu   +9 more
doaj   +1 more source

Mapping Local Climate Zones in the Urban Environment: The Optimal Combination of Data Source and Classifier

open access: yesSensors, 2022
The novel concept of local climate zones (LCZs) provides a consistent classification framework for studies of the urban thermal environment. However, the development of urban climate science is severely hampered by the lack of high-resolution data to map
Siying Cui   +5 more
doaj   +1 more source

Forest Fire Mapping Using Multi-Source Remote Sensing Data: A Case Study in Chongqing

open access: yesRemote Sensing, 2023
Forest fires are one of the most severe natural disasters facing global ecosystems, as they have a significant impact on ecological security and social development.
Yixin Zhao   +5 more
doaj   +1 more source

An Improved YOLOv5 Method to Detect Tailings Ponds from High-Resolution Remote Sensing Images

open access: yesRemote Sensing, 2023
Tailings ponds’ failure and environmental pollution make tailings monitoring very important. Remote sensing technology can quickly and widely obtain ground information and has become one of the important means of tailings monitoring.
Zhenhui Sun   +4 more
doaj   +1 more source

PRELIMINARY EVALUATION OF GAOFEN-3 POLARIMETRIC AND RADIOMETRIC ACCURACY BY CORNER REFLECTORS IN INNER MONGOLIA [PDF]

open access: yesThe International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2018
On August 10, 2016, China launched its first C-band full polarimetric radar satellite, named Gaofen-3 (GF-3), for urban and agriculture monitoring, landslide detection, ocean applications, etc.
L. Shi   +7 more
doaj   +1 more source

Analysis of the Effectiveness of the Red-Edge Bands of GF-6 Imagery in Forest Health Discrimination

open access: yesIEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
The red-edge band is closely related to biochemical parameters that characterize the growth condition of green plants and is an important factor in monitoring vegetation health.
Jiahui Chen, Hanqiu Xu
doaj   +1 more source

Terrestrial Ecosystem Detection Based on Deep Learning Framework and Satellite Image Geographical Information

open access: yesGeoscience Data Journal, Volume 13, Issue 3, July 2026.
The proposed deep learning framework integrates ResNet‐50 and LSTM models to detect and classify terrestrial ecosystems from satellite imagery. The workflow begins with image preprocessing using bilateral, guided, and median filters to enhance image quality and preserve edges.
Liang Dong   +5 more
wiley   +1 more source

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