Machine learning in modelling land-use and land cover-change (LULCC): Current status, challenges and prospects
Land-use and land-cover change (LULCC) are of importance in natural resource
management, environmental modelling and assessment, and agricultural production …
management, environmental modelling and assessment, and agricultural production …
Machine learning in landscape ecological analysis: a review of recent approaches
Abstract Context Artificial Intelligence (AI) has rapidly developed over the past several
decades. Several related AI approaches, such as Machine Learning (ML), have been …
decades. Several related AI approaches, such as Machine Learning (ML), have been …
[HTML][HTML] Modeling fragmentation probability of land-use and land-cover using the bagging, random forest and random subspace in the Teesta River Basin …
S Talukdar, KU Eibek, S Akhter, SK Ziaul… - Ecological …, 2021 - Elsevier
Land-use and land-cover (LULC) changes have become a crucial issue that urgently needs
to be addressed due to global environmental change. Many studies have employed remote …
to be addressed due to global environmental change. Many studies have employed remote …
Exploring detailed urban-rural development under intersecting population growth and food production scenarios: Trajectories for China's most populous agricultural …
Henan, China, is likely the most populous agricultural province worldwide. It is China's major
grain-producing area, with a continuously increasing population (96 million), which is …
grain-producing area, with a continuously increasing population (96 million), which is …
Machine learning algorithm-based risk assessment of riparian wetlands in Padma River Basin of Northwest Bangladesh
Wetland risk assessment is a global concern especially in developing countries like
Bangladesh. The present study explored the spatiotemporal dynamics of wetlands …
Bangladesh. The present study explored the spatiotemporal dynamics of wetlands …
Ecological restoration projects did not increase the value of all ecosystem services in Northeast China
Ecosystem service value (ESV) is greatly affected by changes in land use/land cover
(LULC), and land use decisions are critical drivers of LULC change. ESV assessment has …
(LULC), and land use decisions are critical drivers of LULC change. ESV assessment has …
Impacts of hydrological alteration on ecosystem services changes of a large river-connected lake (Poyang Lake), China
Large lakes provide various types of ecosystem services (ESs), of which stocks and
variations induced by hydrological alterations are largely unquantified. The present study …
variations induced by hydrological alterations are largely unquantified. The present study …
Prediction of wetland area and depth using linear regression model and artificial neural network based cellular automata
Wetlands are an integral part of the socio-ecological setup of the earth, but their fast
transformation beg careful consideration. In this regard, the flood plain wetlands of the …
transformation beg careful consideration. In this regard, the flood plain wetlands of the …
Risk assessment of resources exposed to rainfall induced landslide with the development of GIS and RS based ensemble metaheuristic machine learning algorithms
Disastrous natural hazards, such as landslides, floods, and forest fires cause a serious
threat to natural resources, assets and human lives. Consequently, landslide risk …
threat to natural resources, assets and human lives. Consequently, landslide risk …
A novel classifier for improving wetland mapping by integrating image fusion techniques and ensemble machine learning classifiers
Among all the natural features, wetlands are the most difficult to map and monitor because of
their complicated morphology, ie, their diverse shapes and sizes, ranging from open …
their complicated morphology, ie, their diverse shapes and sizes, ranging from open …