Developments in Landsat land cover classification methods: A review
D Phiri, J Morgenroth - Remote Sensing, 2017 - mdpi.com
Land cover classification of Landsat images is one of the most important applications
developed from Earth observation satellites. The last four decades were marked by different …
developed from Earth observation satellites. The last four decades were marked by different …
Endmember variability in spectral mixture analysis: A review
The composite nature of remotely sensed spectral information often masks diagnostic
spectral features and hampers the detailed identification and mapping of targeted …
spectral features and hampers the detailed identification and mapping of targeted …
Estimation of the spatial distribution of heavy metal in agricultural soils using airborne hyperspectral imaging and random forest
Hyperspectral imaging, with the hundreds of bands and high spectral resolution, offers a
promising approach for estimation of heavy metal concentration in agricultural soils. Using …
promising approach for estimation of heavy metal concentration in agricultural soils. Using …
A comparison of methods for estimating fractional green vegetation cover within a desert-to-upland transition zone in central New Mexico, USA
J Xiao, A Moody - Remote sensing of environment, 2005 - Elsevier
We compared a set of methods for estimating fractional green vegetation cover (fc) over a∼
4000 km2 region of central New Mexico, USA. The models used were trained and tested …
4000 km2 region of central New Mexico, USA. The models used were trained and tested …
Estimation of vegetation parameter for modeling soil erosion using linear Spectral Mixture Analysis of Landsat ETM data
AM De Asis, K Omasa - ISPRS Journal of Photogrammetry and Remote …, 2007 - Elsevier
Soil conservation planning often requires estimates of soil erosion at a catchment or
regional scale. Predictive models such as Universal Soil Loss Equation (USLE) and its …
regional scale. Predictive models such as Universal Soil Loss Equation (USLE) and its …
[HTML][HTML] A generalized framework for drought monitoring across central European grassland gradients with Sentinel-2 time series
Fractional cover time series of photosynthetic vegetation (PV), non-photosynthetic
vegetation (NPV), and soil from remote sensing provide essential detail to understand how …
vegetation (NPV), and soil from remote sensing provide essential detail to understand how …
Spectral unmixing
C Quintano, A Fernández-Manso… - … Journal of Remote …, 2012 - Taylor & Francis
Satellite imagery is formed by finite digital numbers representing a specific location of
ground surface in which each matrix element is denominated as a picture element or pixel …
ground surface in which each matrix element is denominated as a picture element or pixel …
Ecological and sampling constraints on defining landscape fire severity
CH Key - Fire Ecology, 2006 - Springer
Ecological definition and detection of fire severity are influenced by factors of spatial
resolution and timing. Resolution determines the aggregation of effects within a sampling …
resolution and timing. Resolution determines the aggregation of effects within a sampling …
Advances in remote sensing of post-fire vegetation recovery monitoring—A review
Accurate information relating to the impact of fire on the environment and the way it is
distributed throughout the burned area is a key factor in quantifying the impact of fires on …
distributed throughout the burned area is a key factor in quantifying the impact of fires on …
Assessing postfire recovery of chamise chaparral using multi-temporal spectral vegetation index trajectories derived from Landsat imagery
Land managers and ecologists working in Mediterranean-type ecosystems require
information on postfire recovery of shrublands as a means of identifying long-term changes …
information on postfire recovery of shrublands as a means of identifying long-term changes …