Pre‐fire vegetation drives post‐fire outcomes in sagebrush ecosystems: evidence from field and remote sensing data
Sign Up to like & getrecommendations! Published in 2019 at "Ecosphere"
DOI: 10.1002/ecs2.2929
Abstract: and remote sensing data www.nrfirescience.org/resource/20404 Understanding the factors that influence vegetation responses to disturbance is important because vegetation is the foundation of food resources, wildlife habitat, and ecosystem properties and processes. We integrated vegetation cover… read more here.
Keywords: pre fire; field; remote sensing; vegetation ... See more keywords
Filling missing data and smoothing altered data in satellite imagery with a spatial functional procedure
Sign Up to like & getrecommendations! Published in 2019 at "Stochastic Environmental Research and Risk Assessment"
DOI: 10.1007/s00477-019-01711-0
Abstract: Outliers and missing data are commonly found in satellite imagery. These are usually caused by atmospheric or electronic failures, hampering the correct monitoring of remote-sensing data. To avoid distorted data, we propose a procedure called… read more here.
Keywords: spatial functional; procedure; remote sensing; missing data ... See more keywords
Statistical analysis of active fire remote sensing data: examples from South Asia
Sign Up to like & getrecommendations! Published in 2021 at "Environmental Monitoring and Assessment"
DOI: 10.1007/s10661-021-09354-x
Abstract: Active fires emit aerosols and greenhouse gases in the atmosphere. In this paper, the behavior of active fires over a period of 1 year in Nepal, Bhutan, and Sri Lanka is studied using spatial statistics.… read more here.
Keywords: statistical analysis; south asia; remote sensing; model ... See more keywords
Research on cropping intensity mapping of the Huai River Basin (China) based on multi-source remote sensing data fusion
Sign Up to like & getrecommendations! Published in 2021 at "Environmental Science and Pollution Research"
DOI: 10.1007/s11356-021-15387-z
Abstract: As a key input variable to many global climates, land surfaces and crop models, cropping intensity (CI) accurately assesses and predicts crops’ output, in view of the global decline in food production in recent years… read more here.
Keywords: research; cropping intensity; remote sensing; river basin ... See more keywords
Integrating hydrogeological, geophysical, and remote-sensing data to identify fresh groundwater resources in arid regions: a case study from Western Iraq
Sign Up to like & getrecommendations! Published in 2019 at "Environmental Earth Sciences"
DOI: 10.1007/s12665-019-8501-z
Abstract: There is a limited availability of fresh groundwater in the western part of Iraq due to the aridity of the region, and new water supplies are required to meet the demands of potential industrial, mining,… read more here.
Keywords: groundwater; fresh groundwater; remote sensing; hydrogeological geophysical ... See more keywords
Estimation of anthropogenic heat emissions in China using Cubist with points-of-interest and multisource remote sensing data.
Sign Up to like & getrecommendations! Published in 2020 at "Environmental pollution"
DOI: 10.1016/j.envpol.2020.115183
Abstract: Rapid urbanization and industrialization in China stimulated the great increase of energy consumption, which leads to drastic rise in the emission of anthropogenic waste heat. Anthropogenic heat emission (AHE) is a crucial component of urban… read more here.
Keywords: sensing data; multisource remote; anthropogenic heat; remote sensing ... See more keywords
Towards a remote sensing data based evapotranspiration estimation in Northern Australia using a simple random forest approach
Sign Up to like & getrecommendations! Published in 2021 at "Journal of Arid Environments"
DOI: 10.1016/j.jaridenv.2021.104513
Abstract: Abstract In this work we have developed a random forest regressor to predict daily evapotranspiration in three eddy-covariance sites in Northern Australia from in-situ meteorological data and fluxes, and satellite leaf area index and land… read more here.
Keywords: northern australia; remote sensing; random forest; approach ... See more keywords
Sea of possibilities: Old and new uses of remote sensing data for the enforcement of the Ascension Island marine protected area
Sign Up to like & getrecommendations! Published in 2018 at "Marine Policy"
DOI: 10.1016/j.marpol.2018.06.012
Abstract: Very large marine protected areas are in danger of becoming 'paper parks'. This paper uses an interdisciplinary team to investigate the use of remote sensing technologies to provide sufficient evidence for effective fisheries management. It… read more here.
Keywords: marine; marine protected; ascension island; remote sensing ... See more keywords
Radiometric mapping and spectral based classification of rocks using remote sensing data analysis: The Precambrian basement complex, NW Nigeria
Sign Up to like & getrecommendations! Published in 2021 at "Remote Sensing Applications: Society and Environment"
DOI: 10.1016/j.rsase.2020.100447
Abstract: Abstract In this study, radiometric datasets which are best interpreted in conjunction with multispectral remote sensing data were applied in discriminating and classifying the lithologies of the Kebbi–Sokoto basement terrain for effective lithological mapping of… read more here.
Keywords: classification; data analysis; basement; remote sensing ... See more keywords
Mapping urban tree species using integrated airborne hyperspectral and LiDAR remote sensing data
Sign Up to like & getrecommendations! Published in 2017 at "Remote Sensing of Environment"
DOI: 10.1016/j.rse.2017.08.010
Abstract: Abstract Mapping tree species within urban areas is essential for sustainable urban planning as well as to improve our understanding of the role of urban vegetation as an ecological service. Urban trees contribute significantly in… read more here.
Keywords: sensing data; tree species; mapping urban; remote sensing ... See more keywords
A review of geostatistical simulation models applied to satellite remote sensing: Methods and applications
Sign Up to like & getrecommendations! Published in 2021 at "Remote Sensing of Environment"
DOI: 10.1016/j.rse.2021.112381
Abstract: Abstract Despite an ever-increasing number of spaceborne, airborne, and ground-based data acquisition platforms, remote sensing data are still often spatially incomplete or temporally irregular. While deterministic interpolation techniques are often used, they tend to create… read more here.
Keywords: remote sensing; geostatistical simulation; satellite remote; simulation models ... See more keywords