A5012129280- Land Use and Ecosystem Services
- Urban Heat Island Mitigation
- Remote Sensing in Agriculture
- Remote Sensing and Land Use
- Rangeland and Wildlife Management
- Fire effects on ecosystems
- Urban Green Space and Health
- Impact of Light on Environment and Health
- Ecology and Vegetation Dynamics Studies
- Climate change and permafrost
- Remote Sensing and LiDAR Applications
- Species Distribution and Climate Change
- Atmospheric and Environmental Gas Dynamics
- Cryospheric studies and observations
- Remote-Sensing Image Classification
- Environmental Changes in China
- Noise Effects and Management
- Climate variability and models
- Geographic Information Systems Studies
- Plant Ecology and Soil Science
- Plant Water Relations and Carbon Dynamics
- Automated Road and Building Extraction
- Soil Geostatistics and Mapping
- Climate Change and Environmental Impact
- Climate Change and Health Impacts
United States Geological Survey
2015-2024
Institute of Vegetables and Flowers
2024
Chinese Academy of Agricultural Sciences
2024
Earth Resources Observation and Science Center
2013-2023
University of Sioux Falls
2006-2023
Grand Teton National Park
2021
Delta Air Lines (United States)
2021
Schoodic Institute
2021
University of Canterbury
2015
Electromagnetic Geoservices (Norway)
2014
The 2016 National Land Cover Database (NLCD) product suite (available on www.mrlc.gov), includes Landsat-based, 30 m resolution products over the conterminous (CONUS) United States (U.S.) for land cover, urban imperviousness, and tree, shrub, herbaceous bare ground fractional percentages. release of NLCD provides important new information change patterns across CONUS from 2001 to 2016. For seven epochs were concurrently generated years 2001, 2004, 2006, 2008, 2011, 2013, Products reveal that...
The National Land Cover Database (NLCD) 2016 provides a suite of data products, including land cover and change the conterminous United States from 2001 to 2016, at two- three-year intervals. development this product is part an effort meet growing demand for longer temporal duration more frequent, accurate, consistent information. To accomplish this, we designed new strategy developed comprehensive methods, models, procedures NLCD implementation. Major steps in consist preparation, detection...
We developed a Sub-pixel Imperviousness Change Detection (SICD) approach to detect urban land-cover changes using Landsat and high-resolution imagery. The sub-pixel percent imperviousness was mapped for two dates (09 March 1993 11 2001) over western Georgia regression tree algorithm. accuracy of the predicted reasonable based on comparison independent reference data. average absolute error between data 16.4 15.3 2001. correlation coefficient (r) 0.73 0.78 2001, respectively. Areas with...
Quantifying western U.S. rangelands as a series of fractional components with remote sensing provides new way to understand these changing ecosystems. Nine rangeland ecosystem components, including percent shrub, sagebrush (Artemisia), big sagebrush, herbaceous, annual litter, and bare ground cover, along shrub heights, were quantified at 30 m resolution. Extensive measurements, two scales data from commercial high-resolution satellites Landsat 8, regression tree models used create component...
Many novel research algorithms have been developed to analyze urban heat island (UHI) and UHI regional impacts (UHIRIP) with remotely sensed thermal data tables. We present a comprehensive review of some important aspects UHIRIP studies that use data, including concepts, datasets, methodologies, applications. focus on reviewing progress multi-sensor image selection, preprocessing, computing, gap filling, fusion, deep learning, developing new metrics. This literature shows satellite sensors...
Abstract A simple, efficient, and practical approach for detecting cloud shadow areas in satellite imagery restoring them with clean pixel values has been developed. Cloud are detected using spectral information from the blue, shortwave infrared, thermal infrared bands of Landsat Thematic Mapper or Enhanced Plus two dates (a target image a reference image). These further refined an integration process false removal according to geometric relationship between shadow. filling is based on...
Monitoring temporal dynamics of rangelands to detect and understand change in vegetation cover composition provides a wealth information improve management sustainability. Remote sensing allows the evaluation both abrupt gradual rangeland at unprecedented spatial extents. Here, we describe production National Land Cover Database (NLCD) Back Time (BIT) dataset which quantified percent components (bare ground, herbaceous, annual litter, shrub, sagebrush (Artemisia spp. Nutt.) across western...
Abstract. The increasing availability of high-quality remote sensing data and advanced technologies has spurred land cover mapping to characterize change from local global scales. However, most datasets either span multiple decades at a scale or limited time over larger geographic extent. Here, we present new surface dataset created by the Land Change Monitoring, Assessment, Projection (LCMAP) program conterminous United States (CONUS). LCMAP consists annual products period 1985–2017 30 m...