In this study, we used RVUS data from RadCalNet as a benchmark to verify the radiometric accuracy and stability of operational reprocessed SNPP/VIIRS NOAA-20/VIIRS data, well assess efficiency reprocessing algorithm. addition, remove uncertainty site itself, Landsat 8/OLI another with which validate VIIRS through RUVS site. The biases SNPP bands were within ±4% ±2%, respectively, compared OLI, ...

Multi-temporal analysis is one of the main applications of remote sensing, and Landsat imagery has been one of the main resources for many years. However, the moderate spatial resolution (30 m) restricts their use for high precision applications. In this paper, we simulate Landsat scenes to evaluate, by means of an exhaustive number of tests, a subpixel registration process based on phase corre...

Seagrass is an essential component of coastal ecosystems because its capability to absorb blue carbon, and involvement in sustaining marine biodiversity. In this study, support vector machine (SVM) technologies with corrected satellite imagery data, were applied identify the distribution seagrasses. Observations seagrasses from obtained using GeoEye-1, Sentinel-2 MSI level 1C, Landsat-8 OLI ima...

Background and Purpose: Rapid assessments of forest damage caused by natural disasters such as ice-break, wind, flooding, hurricane, or forest fires are necessary for mitigation and forest management. Forest damage directly impacts carbon uptake and biogeochemical cycles, and thus, has an impact on climate change. It intensifies erosion and flooding, and influences socio-economic well-being of ...

Earth observation data obtained from remote sensors must undergo radiometric calibration before use in quantitative applications. However, the large view angles of the panchromatic multispectral sensor (PMS) aboard the GF-4 satellite pose challenges for cross-calibration due to the effects of atmospheric radiation transfer and the bidirectional reflectance distribution function (BRDF). To addre...

Water bodies are a fundamental element of urban ecosystems, and water mapping is critical for urban and landscape planning and management. Remote sensing has increasingly been used for water mapping in rural areas; however, when applied to urban areas, this spatiallyexplicit approach is a challenging task due to the fact that the water bodies are often of a small size and spectral confusion is ...

First posted July 20, 2023 For additional information, contact: Director, Earth Resources Observation and Science CenterU.S. Geological Survey47914 252nd StreetSioux Falls, SD 57198Contact Pubs Warehouse The U.S. Survey Calibration Validation (Cal/Val) Center of Excellence (ECCOE) focuses on improving the accuracy, precision, calibration, product quality remote-sensing data, leveraging years mu...

Over Himalayas, the detection of seasonal snow cover variations via remote sensing is challenging due to presence rugged terrain and shadow effects. Moreover, traditional per-pixel-based change methods less competent identify inner-pixel subtle with coarse resolution satellite imagery. In present work, we have proposed subpixel-based (SCD) algorithm examine impact topographic correction (TC) on...