Urban land use and land cover change analysis using random forest classification of landsat time series
Efficient implementation of remote sensing image classification can facilitate the extraction of
spatiotemporal information for land use and land cover (LULC) classification. Mapping …
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 …
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 …
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
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 …
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
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 …
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 …
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
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 …
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 …
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 …
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 …
significant in many land use inventories. Though several techniques have been proposed …