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Exploration of Automatic Land Parcel Extraction Methods Based on Satellite Remote Sensing Imagery
Methane-borne Spaceborne Remote Sensing Payloads: FP Interferometry and Applications
How do hyperspectral satellites "see through" vegetation diversity? — Hybrid pixel decomposition: a technology for identifying multiple vegetation types from a single pixel.
Quantitative Assessment of Ecological Restoration Effectiveness | Hyperspectral Remote Sensing Vegetation Diversity Monitoring Technology
Analysis of the spatiotemporal variation characteristics of methane column concentration in the Permian Basin
The CAS Xiguang Aerospace Hyperspectral Application Column: Based on Sentinel-5P/TROPOMI satellite data, this study analyzes the spatiotemporal variation characteristics of methane column concentration in the Permian Basin (US oil and gas region) from 2020 to 2025 using coefficient of variation and Hurst index, explores the impact of oilfield development, and provides scientific support for methane emission monitoring, control, and reduction.
From exploration to mine closure: Mineral resource lifecycle management supported by remote sensing technology
The CAS Xiguang Aerospace Hyperspectral Application Column: Based on multiple current national standards, this column systematically elaborates on the application paths and cases of hyperspectral, InSAR, and UAV remote sensing in various stages of mineral exploration, mine construction, mining production, and closed-mine ecological restoration. It analyzes the technological advantages, limitations, and intelligent development trends, providing a reference for sustainable mineral management.
Chlorophyll a concentration inversion in Hongze Lake
Xi'an Institute of Optics and Precision Mechanics CAS Aerospace Science and Technology Group Co.,LTD Hyperspectral Application Column: Based on Sentinel-2 multispectral data and combined with 19 measured sampling points, sensitive bands were screened through Pearson correlation analysis and a statistical regression model was constructed to complete the inversion of chlorophyll a concentration in Hongze Lake, providing technical support for lake eutrophication monitoring.
A Discussion on the Application of Clay Model in Remote Sensing Segmentation
The CAS Xiguang Aerospace Hyperspectral Applications column analyzes Clay's open-source Earth observation basic model, introduces its "dynamic embedding + spatiotemporal coding + MAE backbone" framework, and discusses its applications in remote sensing segmentation, land cover mapping and other scenarios, as well as its advantages in small sample and cross-regional migration.
"Hidden Contamination" in Interference Signals: The Impact and Removal Methods of Baseline Drift
The CAS Xiguang Aerospace Hyperspectral Application Column analyzes the harmful effects of baseline drift in interferometric imaging systems, compares differential filtering and EMD methods, and focuses on introducing an efficient and stable polynomial fitting removal scheme to help with accurate spectral reconstruction.
Spaceborne camera site calibration experiment based on automatic calibration field
Using the RVUS automatic calibration field as the test site, and combining the MODTRAN5 atmospheric radiative transfer model with the reflectivity basis method, a field calibration experiment of a spaceborne hyperspectral camera was carried out to obtain the absolute radiometric calibration coefficients for each band, verify the effectiveness of the calibration method, and provide an efficient way for on-orbit calibration of commercial remote sensing satellites.
Remote sensing monitoring of point source methane column concentration in typical coal mining areas of Anhui Province
Taking 19 typical coal mining areas in Anhui Province as the research object, this study uses AHSI hyperspectral data from the Gaofen-5 02 satellite to conduct remote sensing monitoring of methane column concentration using a matched filtering algorithm, analyzes the spatial distribution of methane emissions, and provides data support and scientific basis for the dynamic monitoring of regional methane emission sources.