Turnitin
降AI改写
早检测系统
早降重系统
Turnitin-UK版
万方检测-期刊版
维普编辑部版
Grammarly检测
Paperpass检测
checkpass检测
PaperYY检测
Comparison of land use land cover classifiers using different satellite imagery and machine learning techniques
Accurate land use land cover (LULC) classification is vital for the sustainable management
of natural resources and to learn how the landscape is changing due to climate. For …
of natural resources and to learn how the landscape is changing due to climate. For …
Development and application of a new mangrove vegetation index (MVI) for rapid and accurate mangrove map**
Abstract Advancement in Remote Sensing allows rapid mangrove map** without the need
for data-intensive methodologies, complex classifiers, and skill-dependent classification …
for data-intensive methodologies, complex classifiers, and skill-dependent classification …
[HTML][HTML] Analysis of land use and land cover using machine learning algorithms on google earth engine for Munneru River Basin, India
The growing human population accelerates alterations in land use and land cover (LULC)
over time, putting tremendous strain on natural resources. Monitoring and assessing LULC …
over time, putting tremendous strain on natural resources. Monitoring and assessing LULC …
Modelling of land use land cover changes using machine learning and GIS techniques: a case study in El-Fayoum Governorate, Egypt
Land use/land cover (LULC) changes can occur naturally or due to human activities. In this
study, the maximum likelihood algorithm (MLH) and machine learning (random forest …
study, the maximum likelihood algorithm (MLH) and machine learning (random forest …
Cloud approach to automated crop classification using Sentinel-1 imagery
For accurate crop classification, it is necessary to use time-series of high-resolution satellite
data to better discriminate among certain crop types. This task brings the following …
data to better discriminate among certain crop types. This task brings the following …
Analysis of desertification trends in Central Asia based on MODIS Data using Google Earth Engine
I Aslanov, N Teshaev, K Khayitov… - E3S Web of …, 2023 - e3s-conferences.org
Desertification is a significant environmental issue affecting arid and semi-arid regions
globally, including Central Asia. Monitoring and analyzing desertification trends is crucial for …
globally, including Central Asia. Monitoring and analyzing desertification trends is crucial for …
[HTML][HTML] The google earth engine mangrove map** methodology (Geemmm)
Mangroves are found globally throughout tropical and sub-tropical inter-tidal coastlines.
These highly biodiverse and carbon-dense ecosystems have multi-faceted value, providing …
These highly biodiverse and carbon-dense ecosystems have multi-faceted value, providing …
[PDF][PDF] Comparison of machine learning algorithms for land use and land cover analysis using Google Earth engine (Case study: Wanggu watershed)
Human population growth and land use and land cover (LULC) change have always
developed side by side. Considering selection of a good Machine Learning (ML) classifier …
developed side by side. Considering selection of a good Machine Learning (ML) classifier …
Evaluating mangrove conservation and sustainability through spatiotemporal (1990–2020) mangrove cover change analysis in Pakistan
This study provides the first comprehensive mangrove cover change assessment from 1990
to 2020, at five-year intervals, across all five mangrove areas in Pakistan, ie Indus Delta …
to 2020, at five-year intervals, across all five mangrove areas in Pakistan, ie Indus Delta …
[HTML][HTML] Spatiotemporal assessment of deforestation and forest degradation indicates spillover effects from mining activities and related biodiversity offsets in …
Mining has severe environmental and social impacts. To compensate for the environmental
damage caused at mining sites, mining companies are required to engage in biodiversity …
damage caused at mining sites, mining companies are required to engage in biodiversity …