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...

Thermal infrared remote satellite (TIRS) images combined with high-resolution optical in a time series can be used to analyze the production status of iron and steel factories (ISF) China, which is more objective compared statistical data. In previous studies, based on land surface temperature (LST) data retrieved from Landsat-8 TIRS data, heat island intensity index an ISF (hereinafter referre...

Extracting surface water distribution with satellite imagery has been an important subject in remote sensing. Spectral indices of water only use information from a limited number of bands, thus they may have poor performance from pixels contaminated by ice/snow, clouds, etc. The detection algorithms using information from all spectral bands, such as constrained energy minimization (CEM), could ...

High-accuracy land use and cover maps (LULC) are increasingly in demand for environmental management decision-making. Despite the limitation, Machine learning classifiers (MLC) fill gap any complex issue related to LULC data accuracy. Visualizing land-cover information is critical mitigating Côte d’Ivoire’s deforestation planning using Google Earth Engine (GEE) software. This paper estimates pr...

Landsat-7 Enhanced Thematic Mapper Plus (ETM+) and Landsat-8 Operational Land Imager (OLI) and Thermal Infrared Sensor (TIRS) are currently operational for routine Earth observation. There are substantial differences between instruments onboard both satellites. The enhancements achieved with Landsat-8 refer to the scanning technology (replacing of whisk-broom scanners with two separate push-bro...

In the north-western Atacora region, rugged terrain limits access to agricultural land and creates a particular dynamic of cover. The objective this research is simulate cover in 2050s mountainous area northwestern Benin. Landsat 5 TM images from 1988 8 OLI-TIRS 2020 are main data used. Supervised classification modelling were performed with Idrisi Selva software. annual regression rate 18.30 %...

Currently, updating the change detection (CD) of land use/land cover (LU/LC) geospatial information with high accuracy outcomes is important and very confusing different classification methods, datasets, satellite images, ancillary dataset types available. However, using just low spatial resolution visible bands remotely sensed images will not provide good accuracy. Remotely thermal data contai...

Abstract Tropical peatlands in Indonesia are severely degraded due to unsustainable logging, conversion plantations, poor drainage, and repeated fires. Traditional communities Central Kalimantan used build “beje” ponds for fishing paludikulur farming system (agrosilvo fishery) deep area that frequently flooded. However, hardly reached spot peat swamp makes areas suitable beje difficult find. Th...