Land surface phenology as indicator of global terrestrial ecosystem dynamics: A systematic review
JA Caparros-Santiago, V Rodriguez-Galiano… - ISPRS Journal of …, 2021 - Elsevier
Vegetation phenology is considered an important biological indicator in understanding the
behaviour of ecosystems and how it responds to environmental cues. Changes in vegetation …
behaviour of ecosystems and how it responds to environmental cues. Changes in vegetation …
Predicting and mapping land cover/land use changes in Erbil/Iraq using CA-Markov synergy model
One of the most dynamic components of the environment is land use land cover (LULC),
which have been changing remarkably since after the industrial revolution at various scales …
which have been changing remarkably since after the industrial revolution at various scales …
[HTML][HTML] Characterizing land cover/land use from multiple years of Landsat and MODIS time series: A novel approach using land surface phenology modeling and …
Over the last 20 years, substantial amounts of grassland have been converted to other land
uses in the Northern Great Plains. Most of land cover/land use (LCLU) assessments in this …
uses in the Northern Great Plains. Most of land cover/land use (LCLU) assessments in this …
The role of earth observation in achieving sustainable agricultural production in arid and semi-arid regions of the world
Crop production is a major source of food and livelihood for many people in arid and semi-
arid (ASA) regions across the world. However, due to irregular climatic events, ASA regions …
arid (ASA) regions across the world. However, due to irregular climatic events, ASA regions …
[HTML][HTML] Urban land use and land cover classification with interpretable machine learning–A case study using Sentinel-2 and auxiliary data
Abstract The European Commission launch of the twin Sentinel-2 satellites provides new
opportunities for land use and land cover (LULC) classification because of the ready …
opportunities for land use and land cover (LULC) classification because of the ready …
Forecasting wheat and barley crop production in arid and semi-arid regions using remotely sensed primary productivity and crop phenology: A case study in Iraq
Crop production and yield estimation using remotely sensed data have been studied widely,
but such information is generally scarce in arid and semi-arid regions. In these regions, inter …
but such information is generally scarce in arid and semi-arid regions. In these regions, inter …
Prediction of land use land cover changes of a river basin using the CA-Markov model
Simulation and prediction of land use land cover (LULC) has been presented using Hybrid
CA-Markov model for the Mahi River basin. LULC information for the year 2000, 2010, and …
CA-Markov model for the Mahi River basin. LULC information for the year 2000, 2010, and …
Machine learning for modeling water demand
MC Villarin, VF Rodriguez-Galiano - Journal of Water Resources …, 2019 - ascelibrary.org
This work shows the application of machine learning (ML) methods to the modeling of water
demand for the first time. Classification and regression trees (CART) and random forest (RF) …
demand for the first time. Classification and regression trees (CART) and random forest (RF) …
Estimating daily reference evapotranspiration in a semi-arid region using remote sensing data
Estimating daily evapotranspiration is challenging when ground observation data are not
available or scarce. Remote sensing can be used to estimate the meteorological data …
available or scarce. Remote sensing can be used to estimate the meteorological data …
Spatiotemporal monitoring and change detection of vegetation cover for drought management in the Middle East
Abstract The Middle East (ME), as an arid and semi-arid region, is prone to environmental
risks and stresses, such as drought are inseparable phenomena of the region. In this study …
risks and stresses, such as drought are inseparable phenomena of the region. In this study …