Results 1 to 10 of about 24,148,652 (253)

Object- Versus Pixel-Based Unsupervised Fire Burn Scar Mapping under Different Biogeographical Conditions in Europe

Land, 2023
Wildfire detection and mapping is crucial for managing natural resources and preventing further environmental damage. In this study, we compared two methods of mapping burn scars using Sentinel-2 satellite imagery, a pixel-based approach and an object ...
Marta Milczarek, Sebastian Aleksandrowicz, Afroditi Kita, Rizos-Theodoros Chadoulis, Ioannis Manakos, Edyta Woźniak   +5 more
doaj   +1 more source

Considering the “Property-Based” of the Physical in the Definition of Physicalism according to the Latest View of Islamic Philosophers [PDF]

تاریخ فلسفه اسلامی, 2023
Various viewpoints have been expressed in favor and against physicalism; But the requirement for accurate assessment of physicalism is to have a correct understanding of physicalism. In this article, apart from criticizing physicalism, we want to reach a
Mohammad Hassan Fatemi neia
doaj   +1 more source

The Suitability of PlanetScope Imagery for Mapping Rubber Plantations

Remote Sensing, 2022
Quickly and accurately understanding the spatial distribution of regional rubber resources is of great practical significance. Using the unique phenological characteristics of rubber trees derived from remotely sensed data is a common effective method ...
Bei Cui, Wenjiang Huang, Huichun Ye, Quanxi Chen   +3 more
doaj   +1 more source

Gestural embodiment of spatial schematic information in motion-based and static space-based metaphors

Cogent Arts & Humanities, 2023
In this study, we examined the types of gestures that occurred with motion-based, static space-based, static object-based, and static event-based metaphors. A group of participants listened to three short stories and then retold them in front of a camera.
Omid Khatin-Zadeh, Danyal Farsani, Zahra Eskandari, Shan Li, Hassan Banaruee   +4 more
doaj   +1 more source

From Land Cover Map to Land Use Map: A Combined Pixel-Based and Object-Based Approach Using Multi-Temporal Landsat Data, a Random Forest Classifier, and Decision Rules

Remote Sensing, 2021
It is essential to produce land cover maps and land use maps separately for different purposes. This study was conducted to generate such maps in Binh Duong province, Vietnam, using a novel combination of pixel-based and object-based classification ...
Dang Hung Bui, László Mucsi
doaj   +1 more source

Mapping Paddy Rice with Sentinel-1/2 and Phenology-, Object-Based Algorithm—A Implementation in Hangjiahu Plain in China Using GEE Platform

Remote Sensing, 2021
In tropical/subtropical monsoon regions, accurate rice mapping is hampered by the following factors: (1) The frequent occurrence of clouds in such areas during the rice-growing season interferes strongly with optical remote sensing observations; (2) The ...
Wu Xiao, Suchen Xu, Tingting He
doaj   +1 more source

An Object-Based Genetic Programming Approach for Cropland Field Extraction

Remote Sensing, 2022
Cropland fields are the basic spatial units for agricultural management, and information about their distribution is critical for analyzing agricultural investments and management.
Caiyun Wen, Miao Lu, Ying Bi, Shengnan Zhang, Bing Xue, Mengjie Zhang, Qingbo Zhou, Wenbin Wu   +7 more
doaj   +1 more source

Mapping Landslides on EO Data: Performance of Deep Learning Models vs. Traditional Machine Learning Models

Remote Sensing, 2020
Mapping landslides using automated methods is a challenging task, which is still largely done using human efforts. Today, the availability of high-resolution EO data products is increasing exponentially, and one of the targets is to exploit this data ...
Nikhil Prakash, Andrea Manconi, Simon Loew   +2 more
doaj   +1 more source

A Bi-Temporal-Feature-Difference- and Object-Based Method for Mapping Rice-Crayfish Fields in Sihong, China

Remote Sensing, 2023
Rice-crayfish field (i.e., RCF) distribution mapping is crucial for the adjustment of the local crop cultivation structure and agricultural development.
Siqi Ma, Danyang Wang, Haichao Yang, Huagang Hou, Cheng Li, Zhaofu Li   +5 more
doaj   +1 more source

A Holistic Analysis for Landslide Susceptibility Mapping Applying Geographic Object-Based Random Forest: A Comparison between Protected and Non-Protected Forests

Remote Sensing, 2020
Despite recent progress in landslide susceptibility mapping, a holistic method is still needed to integrate and customize influential factors with the focus on forest regions. This study was accomplished to test the performance of geographic object-based
Zeinab Shirvani
doaj   +1 more source