Assessing the pasturelands and livestock dynamics in Brazil, from 1985 to 2017: A novel approach based on high spatial resolution imagery and Google Earth Engine …
The livestock activity accounts for a large part of the transformations in land cover in the
world, with pasture areas being the main land use in Brazil and the main livelihood of the …
world, with pasture areas being the main land use in Brazil and the main livelihood of the …
Accuracy improvements to pixel-based and object-based lulc classification with auxiliary datasets from Google Earth engine
L Qu, Z Chen, M Li, J Zhi, H Wang - Remote Sensing, 2021 - mdpi.com
The monitoring and assessment of land use/land cover (LULC) change over large areas are
significantly important in numerous research areas, such as natural resource protection …
significantly important in numerous research areas, such as natural resource protection …
Using Landsat observations (1988–2017) and Google Earth Engine to detect vegetation cover changes in rangelands-A first step towards identifying degraded lands …
Globally, the area of agricultural land is shrinking in part due to environmental degradation.
Acquisition and restoration of degraded lands no longer used for agriculture may present a …
Acquisition and restoration of degraded lands no longer used for agriculture may present a …
A geographical direction-based approach for capturing the local variation of urban expansion in the application of CA-Markov model
Predictive modelling and its application in land change science has been considerably
advanced, however, further performance improvement of the existing models is undergoing …
advanced, however, further performance improvement of the existing models is undergoing …
Developing a random forest algorithm for MODIS global burned area classification
R Ramo, E Chuvieco - Remote Sensing, 2017 - mdpi.com
This paper aims to develop a global burned area (BA) algorithm for MODIS BRDF-corrected
images based on the Random Forest (RF) classifier. Two RF models were generated …
images based on the Random Forest (RF) classifier. Two RF models were generated …
Urban expansion occurred at the expense of agricultural lands in the Tarai region of Nepal from 1989 to 2016
Recent rapid urbanization in developing countries presents challenges for sustainable
environmental planning and peri-urban cropland management. An improved understanding …
environmental planning and peri-urban cropland management. An improved understanding …
Predicting landslide susceptibility and risks using GIS-based machine learning simulations, case of upper Nyabarongo catchment
JB Nsengiyumva, R Valentino - Geomatics, Natural Hazards and …, 2020 - Taylor & Francis
Sustainable landslide mitigation requires appropriate approaches to predict susceptible
zones. This study compared the performance of Logistic Model Tree (LMT), Random Forest …
zones. This study compared the performance of Logistic Model Tree (LMT), Random Forest …
Improving the remote estimation of soil organic carbon in complex ecosystems with Sentinel-2 and GIS using Gaussian processes regression
JE Ayala Izurieta, CA Jara Santillán, CO Márquez… - Plant and soil, 2022 - Springer
Background and aims The quantitative retrieval of soil organic carbon (SOC) storage,
particularly for soils with a large potential for carbon sequestration, is of global interest due …
particularly for soils with a large potential for carbon sequestration, is of global interest due …
Improvement in satellite image-based land cover classification with landscape metrics
The use of an object-based image analysis (OBIA) method has recently become quite
common for classifying high-resolution remote-sensed images. However, despite OBIA's …
common for classifying high-resolution remote-sensed images. However, despite OBIA's …
Post-typhoon forest damage estimation using multiple vegetation indices and machine learning models
The frequency and intensity of typhoons have increased due to climate change. These
climate change-induced disasters have caused widespread damage to forests. Evaluation of …
climate change-induced disasters have caused widespread damage to forests. Evaluation of …