Object-oriented lulc classification in google earth engine combining snic, glcm, and machine learning algorithms
A Tassi, M Vizzari - Remote Sensing, 2020 - mdpi.com
Google Earth Engine (GEE) is a versatile cloud platform in which pixel-based (PB) and
object-oriented (OO) Land Use–Land Cover (LULC) classification approaches can be …
object-oriented (OO) Land Use–Land Cover (LULC) classification approaches can be …
Land-use mapping for high-spatial resolution remote sensing image via deep learning: A review
Land-use mapping (LUM) using high-spatial resolution remote sensing images (HSR-RSIs)
is a challenging and crucial technology. However, due to the characteristics of HSR-RSIs …
is a challenging and crucial technology. However, due to the characteristics of HSR-RSIs …
Mapping roofing with asbestos-containing material by using remote sensing imagery and machine learning-based image classification: A state-of-the-art review
Building roofing produced with asbestos-containing materials is a significant concern due to
its detrimental health hazard implications. Efficiently locating asbestos roofing is essential to …
its detrimental health hazard implications. Efficiently locating asbestos roofing is essential to …
PlanetScope, Sentinel-2, and Sentinel-1 data integration for object-based land cover classification in Google Earth Engine
M Vizzari - Remote Sensing, 2022 - mdpi.com
PlanetScope (PL) high-resolution composite base maps have recently become available
within Google Earth Engine (GEE) for the tropical regions thanks to the partnership between …
within Google Earth Engine (GEE) for the tropical regions thanks to the partnership between …
Satellite image classification methods and techniques: A survey
H Ouchra, A Belangour - 2021 IEEE International Conference …, 2021 - ieeexplore.ieee.org
At the age of artificial intelligence, remote sensing and especially satellite imagery is gaining
widespread interest among computer science community in their effort to give machines the …
widespread interest among computer science community in their effort to give machines the …
[HTML][HTML] Land use land cover change detection through geospatial analysis in an Indian Biosphere Reserve
TK Thakur, DK Patel, A Bijalwan, MJ Dobriyal… - Trees, Forests and …, 2020 - Elsevier
The present study examines the land use land cover (LULC) and change detection impacts
on forest ecosystem in Achanakmaar Amarkantak Biosphere Reserve (AABR–area 626.76 …
on forest ecosystem in Achanakmaar Amarkantak Biosphere Reserve (AABR–area 626.76 …
Object-based land-use/land-cover change detection using Landsat imagery: a case study of Ardabil, Namin, and Nir counties in northwest Iran
F Aslami, A Ghorbani - Environmental monitoring and assessment, 2018 - Springer
In this study, land-use/land-cover (LULC) change in the Ardabil, Namin, and Nir counties, in
the Ardabil province in the northwest of Iran, was detected using an object-based method …
the Ardabil province in the northwest of Iran, was detected using an object-based method …
Assessing the effect of water scarcity on crop selection and spatial pattern of croplands in central Iran
M Bozorgi, M Moein, F Nejadkoorki, NB Toosi - Computers and Electronics …, 2020 - Elsevier
Farming and food production for the increasing world's population require proper
preparation of a diverse range of environmental parameters especially water availability and …
preparation of a diverse range of environmental parameters especially water availability and …
Mapping LULC types in the Cerrado-Atlantic Forest ecotone region using a Landsat time series and object-based image approach: A case study of the Prata River …
In the last 30 years, the growth of the agriculture and livestock industries in the Cerrado
biome has caused severe changes in land use and land cover (LULC), and areas previously …
biome has caused severe changes in land use and land cover (LULC), and areas previously …
Monitoring rice lodging grade via Sentinel-2A images based on change vector analysis
Q Sun, X Gu, L Chen, X Xu, Y Pan, X Hu… - International Journal of …, 2022 - Taylor & Francis
Lodging stress influences the yield, quality, and mechanical harvesting ability of rice (Oryza
sativa L.). It is of great significance for the quantitative and objective evaluation of rice yield …
sativa L.). It is of great significance for the quantitative and objective evaluation of rice yield …