Machine learning in modelling land-use and land cover-change (LULCC): Current status, challenges and prospects

J Wang, M Bretz, MAA Dewan, MA Delavar - Science of The Total …, 2022 - Elsevier
Land-use and land-cover change (LULCC) are of importance in natural resource
management, environmental modelling and assessment, and agricultural production …

Soybean yield prediction from UAV using multimodal data fusion and deep learning

M Maimaitijiang, V Sagan, P Sidike, S Hartling… - Remote sensing of …, 2020 - Elsevier
Preharvest crop yield prediction is critical for grain policy making and food security. Early
estimation of yield at field or plot scale also contributes to high-throughput plant phenoty** …

Urbanization impact on landscape patterns in Bei**g City, China: A spatial heterogeneity perspective

H Li, J Peng, L Yanxu, H Yi'na - Ecological Indicators, 2017 - Elsevier
The temporal and spatial characteristics of landscape pattern change can reflect the spatial
impact of urbanization on the ecological environment. Studying the relationship between …

Vegetation index weighted canopy volume model (CVMVI) for soybean biomass estimation from unmanned aerial system-based RGB imagery

M Maimaitijiang, V Sagan, P Sidike… - ISPRS journal of …, 2019 - Elsevier
Crop biomass estimation with high accuracy at low-cost is valuable for precision agriculture
and high-throughput phenoty**. Recent technological advances in Unmanned Aerial …

High-resolution crop yield and water productivity dataset generated using random forest and remote sensing

M Cheng, X Jiao, L Shi, J Penuelas, L Kumar, C Nie… - Scientific data, 2022 - nature.com
Accurate and high-resolution crop yield and crop water productivity (CWP) datasets are
required to understand and predict spatiotemporal variation in agricultural production …

Combining multi-indicators with machine-learning algorithms for maize yield early prediction at the county-level in China

M Cheng, J Penuelas, MF McCabe, C Atzberger… - Agricultural and Forest …, 2022 - Elsevier
The accurate and timely prediction of crop yield at a large scale is important for food security
and the development of agricultural policy. An adaptable and robust method for estimating …

Determinants of urban expansion and their relative importance: A comparative analysis of 30 major metropolitans in China

Q Zhang, S Su - Habitat international, 2016 - Elsevier
Metropolitan has progressively emerged as a new form of urban governance.
Understanding the urban expansion process and its determinants at metropolitan level …

Effects of land use and land cover changes on water quality in the uMngeni river catchment, South Africa

JN Namugize, G Jewitt, M Graham - Physics and Chemistry of the Earth …, 2018 - Elsevier
Land use and land cover change are major drivers of water quality deterioration in
watercourses and impoundments. However, understanding of the spatial and temporal …

Analysis of urban growth and estimating population density using satellite images of nighttime lights and land-use and population data

H Bagan, Y Yamagata - GIScience & Remote Sensing, 2015 - Taylor & Francis
We investigated the spatiotemporal dynamics of urban expansion in Japan from 1990 to
2006 by using gridded land-use data, population census data, and satellite images of …