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-based continuous monitoring of land disturbances from dense Landsat time series

S Ye, Z Zhu, G Cao - Remote Sensing of Environment, 2023 - Elsevier
An accurate mapping of land disturbances with regard to their timing and locations is the
prerequisite for the success of downstream disturbance characterization. This study …

融入辅助数据集的面向对象土地利用分类研究.

李坤玉, 王雪梅, 李锐, 李顿 - Acta Scientiarum Naturalium …, 2024 - search.ebscohost.com
土地利用分类结果对国土空间的管理至关重要. 为提高土地利用分类结果的准确性,
本文以博湖县为研究区, 使用Sentinel-2A 影像提取光谱特征, 并结合雷达, 光谱指数 …

Modeling Flood Hazards in Ambon City Watersheds: Case Studies of Wai Batu Gantung

H Rakuasa, B Joshua, G Somae - Journal of Information Systems …, 2024 - journal.aira.or.id
Flood hazard modeling in watersheds is an important step in natural disaster risk mitigation,
especially in vulnerable areas such as Ambon City. This research focused on the Wai Batu …

Classification of Vegetation using Sentinal-2 Images of Jodhpur Region

KS Vani, ETN Lakshmi, M Susarla… - 2023 9th …, 2023 - ieeexplore.ieee.org
Plants are the Foundation of Ecosystem. It is necessary to know the Crop Diversity in an
Area. This project suggests classification of vegetation using image analysis from remote …

Object-Based Cereal Crop Mapping Using Sentinel-2 Imagery

D Attaf, M Djamel - 2024 IEEE Mediterranean and Middle-East …, 2024 - ieeexplore.ieee.org
This study investigates the possibilities of improving the cereal crop mapping on high spatial
resolution images by using object-based approach, superpixel segmentation and the Gray …