Results 11 to 20 of about 167,285 (319)

A new method for generating a clear-sky Landsat composite for cropland from cloud-contaminated Landsat-7 and Landsat-8 images

open access: yesInternational Journal of Digital Earth, 2017
A new method was developed in this study for producing a clear-sky Landsat composite for cropland from cloud-contaminated Landsat images acquired in a short time period. It used Thiel–Sen regression to normalize all Landsat scenes to a MODIS image to make all Landsat images radiometrically consistent and comparable.
Shusen Wang, Junhua Li
openaire   +3 more sources

Comparison of tree-based classification algorithms in mapping burned forest areas [PDF]

open access: yesGeodetski Vestnik, 2020
In this study, we compared the performance of tree-based classification algorithms – Random Forest (RF), Rotation Forest (RotF), J48, The Alternating Decision Tree (ADTree), Forest by Penalising Attributes (Forest PA), Logical Analysis of Data Algorithm (
Dilek Kucuk Matci   +2 more
doaj   +1 more source

Monitoring, forecasting and analyzing the trend of 40 years of land cover/land use change around Yasuoj city [PDF]

open access: yesمجله جنگل ایران, 2021
The aim of this study was to determine, analyze and predict changes in LC/LU and the destruction trend of natural resources due to the growth of urbanization around Yasouj city.
M. Farzin, M. Khazaei
doaj   +1 more source

Long-term dynamic analysis based on Landsat imagery in the Gorgan Bay- Gomishan Wetland, Iran [PDF]

open access: yesCaspian Journal of Environmental Sciences, 2022
Coastal ecosystems are very dynamic and their changes occur relatively quickly due to the collision of two dynamic environments of land and sea. Gorgan Bay and Gomishan Wetland are unique ecosystems in the south-eastern part of the Caspian Sea.
Ahmad Reza Pirali Zefrehei   +2 more
doaj   +1 more source

SOIL SALINITY MAPPING USING SATELLITE REMOTE SENSING: A CASE STUDY OF LOWER CHENAB CANAL SYSTEM, PUNJAB [PDF]

open access: yesEarth Sciences Pakistan, 2020
Salinity is the most important factor of consideration for the water management policies. The water availability from the rootzone reduced with the increase in the soil salinity due to the increase in the osmatic pressure.
Muhammad Mohsin Waqas   +6 more
doaj   +1 more source

Land Surface Temperature Retrieval from Landsat 5, 7, and 8 over Rural Areas: Assessment of Different Retrieval Algorithms and Emissivity Models and Toolbox Implementation

open access: yesRemote Sensing, 2020
Land Surface Temperature (LST) is an important parameter for many scientific disciplines since it affects the interaction between the land and the atmosphere.
Aliihsan Sekertekin, Stefania Bonafoni
doaj   +1 more source

Interpolation and Gap Filling of Landsat Reflectance Time Series [PDF]

open access: yesIGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium, 2020
Products derived from a single multispectral sensor are hampered by a limited spatial, spectral or temporal resolutions. Image fusion in general and downscaling/blending in particular allow to combine different multiresolution datasets. We present here an optimal interpolation approach to generate smoothed and gap-free time series of Landsat ...
arxiv   +1 more source

Modern glacier dynamics in Mt. Tsambagarav in the Mongolian Altai Mountain Range

open access: yesMongolian Geoscientist, 2020
This study presents the modern glacier dynamics in Mt. Tsambagarav in the Mongolian Altai Mountain Range over the last four decades. This is the first review of this type of glacier dynamics for this massif. Changes in glacier area in Mt. Tsambagarav are
Tuyagerel Davaagatan   +1 more
doaj   +1 more source

Spatial Evolution of Prosopis Invasion and its Effects on LULC and Livelihoods in Baringo, Kenya

open access: yesRemote Sensing, 2019
Woody alien plant species have been deliberately introduced globally in many arid and semi-arid regions, as they can provide services and goods to the rural poor.
Purity Rima Mbaabu   +7 more
doaj   +1 more source

Exploration of Convolutional Neural Network Architectures for Large Region Map Automation [PDF]

open access: yes, 2022
Deep learning semantic segmentation algorithms have provided improved frameworks for the automated production of Land-Use and Land-Cover (LULC) maps, which significantly increases the frequency of map generation as well as consistency of production quality. In this research, a total of 28 different model variations were examined to improve the accuracy
arxiv   +1 more source

Home - About - Disclaimer - Privacy