[HTML][HTML] Comparison of accuracy and reliability of random forest, support vector machine, artificial neural network and maximum likelihood method in land use/cover …

MS Chowdhury - Environmental Challenges, 2024 - Elsevier
Accurate land use and land cover (LULC) is crucial for sustainable urban planning and for
many scientific researches. However, the demand for accurate LULC maps is increasing; it …

A new robust hybrid model based on support vector machine and firefly meta-heuristic algorithm to predict pistachio yields and select effective soil variables

J Seyedmohammadi, A Zeinadini, MN Navidi… - Ecological …, 2023 - Elsevier
Pistachio production is an economically important crop that grows in arid environments. To
predict yield and sustainably manage the use of natural resources such as soil and water …

[HTML][HTML] Remote sensing based forest cover classification using machine learning

G Aziz, N Minallah, A Saeed, J Frnda, W Khan - Scientific Reports, 2024 - nature.com
Pakistan falls significantly below the recommended forest coverage level of 20 to 30 percent
of total area, with less than 6 percent of its land under forest cover. This deficiency is …

Combination of discretization regression with data-driven algorithms for modeling irrigation water quality indices

PK Singh, J Rajput, D Kumar, V Gaddikeri… - Ecological …, 2023 - Elsevier
Forecasting water quality parameters helps plan crop selection and irrigation strategies but
is often costly because many parameters are required, particularly in developing nations …

Tracking the behavior of an accidental oil spill and its impacts on the marine environment in the Eastern Mediterranean

RM Abou Samra, RR Ali - Marine Pollution Bulletin, 2024 - Elsevier
The eastern Mediterranean region is a vital hub for oil transportation and production
because of its strategic location between Europe, Asia, and Africa. But its unique attributes …

[HTML][HTML] Enhancing Land Cover/Land Use (LCLU) classification through a comparative analysis of hyperparameters optimization approaches for deep neural network …

A Azedou, A Amine, I Kisekka, S Lahssini… - Ecological …, 2023 - Elsevier
Sustainable natural resources management relies on effective and timely assessment of
conservation and land management practices. Using satellite imagery for Earth observation …

Evaluation and mapping of predicted future land use changes using hybrid models in a coastal area

H Ahmad, M Abdallah, F Jose, HE Elzain… - Ecological …, 2023 - Elsevier
Future prediction modeling of land use/land cover (LULC) is crucial for coastal regions due
to unique challenges and vulnerabilities associated with these areas. This research aims to …

[HTML][HTML] Predicting future land use utilizing economic and land surface parameters with ANN and Markov chain models

A Rani, SK Gupta, SK Singh, G Meraj, P Kumar… - Earth, 2023 - mdpi.com
The main aim of this study is to comprehensively analyze the dynamics of land use and land
cover (LULC) changes in the Bathinda region of Punjab, India, encompassing historical …

Area-based scenario development in land-use change modeling: A system dynamics-assisted approach for mixed agricultural-residential landscapes

O Ghadirian, A Lotfi, H Moradi, SNS Boushehri… - Ecological …, 2023 - Elsevier
This study aimed to enhance land use and land cover (LULC) change models by addressing
their main limitations, which include the lack of accountability and temporal stability of …

Comparing the performance of machine learning methods in predicting soil seed bank persistence

Y Tang, H Li - Ecological Informatics, 2023 - Elsevier
Soil seed banks are pivotal for understanding plant population life histories and elucidating
plant-environment relationships. Although experimental exploration of persistent seed banks …