Urban land use and land cover change analysis using random forest classification of landsat time series

S Amini, M Saber, H Rabiei-Dastjerdi, S Homayouni - Remote Sensing, 2022 - mdpi.com
Efficient implementation of remote sensing image classification can facilitate the extraction of
spatiotemporal information for land use and land cover (LULC) classification. Mapping …

Remote sensing approaches for meteorological disaster monitoring: recent achievements and new challenges

P Ye - International Journal of Environmental Research and …, 2022 - mdpi.com
Meteorological disaster monitoring is an important research direction in remote sensing
technology in the field of meteorology, which can serve many meteorological disaster …

Mapping lulc dynamics and its potential implication on forest cover in malam jabba region with landsat time series imagery and random forest classification

M Junaid, J Sun, A Iqbal, M Sohail, S Zafar, A Khan - Sustainability, 2023 - mdpi.com
Pakistan has an annual deforestation rate of 4.6% which is the second highest in Asia. It has
been described by the Food and Agriculture Organization (FAO) that the deforestation rate …

Spatial–temporal and driving factors of land use/cover change in Mongolia from 1990 to 2021

J Hao, Q Lin, T Wu, J Chen, W Li, X Wu, G Hu, Y La - Remote Sensing, 2023 - mdpi.com
During the past several decades, desertification and land degradation have become more
and more serious in Mongolia. The drivers of land use/cover change (LUCC), such as …

Fine-grained classification of urban functional zones and landscape pattern analysis using hyperspectral satellite imagery: A case study of Wuhan

J Yuan, S Wang, C Wu, Y Xu - IEEE Journal of Selected Topics …, 2022 - ieeexplore.ieee.org
Landscape mapping and pattern analysis of fine-grained urban functional zones (UFZ) are
of great research value in the field of urban planning and urban development assessment …

[HTML][HTML] Spatiotemporal detection of land use/land cover changes and land surface temperature using Landsat and MODIS data across the coastal Kanyakumari …

SC Sam, G Balasubramanian - Geodesy and Geodynamics, 2023 - Elsevier
This study assesses the changes in land use/land cover (LULC) and land surface
temperature (LST) to identify their impacts from 2000 to 2020 along the coast of …

Modeling of texture quantification and image classification for change prediction due to COVID lockdown using Skysat and Planetscope imagery

AK Shakya, A Ramola, A Vidyarthi - Modeling Earth Systems and …, 2022 - Springer
This research work models two methods together to provide maximum information about a
study area. The quantification of image texture is performed using the “grey level co …

Threshold effect of data amount and grid size on urban land use type identification using multi-source data fusion

H Lv, Z Wu, X Guan, Y Meng, H Wang… - Sustainable Cities and …, 2023 - Elsevier
Reliable urban land use maps are important for sustainable development and planning.
Currently, the effects of different data source combinations and grid sizes on mapping results …

Fine-scale classification of urban land use and land cover with planetscope imagery and machine learning strategies in the city of Cape Town, South Africa

BE Lefulebe, A Van der Walt, S Xulu - Sustainability, 2022 - mdpi.com
Urban land use and land cover (LULC) change can be efficiently monitored with high-
resolution satellite products for a variety of purposes, including sustainable planning. These …

Hybrid hesitant fuzzy linguistic bi-objective binary coyote clustering based segmentation and classification for land use land cover in hyperspectral image

VP Yele, S Alegavi, RR Sedamkar - International Journal of Information …, 2024 - Springer
Land use and land cover segmentation and classification from hyperspectral image is
significant in many land use inventories. Though several techniques have been proposed …