Results 1 to 10 of about 4,627 (134)

Hybrid forward-selection method-based water-quality estimation via combining Landsat TM, ETM+, and OLI/TIRS images and ancillary environmental data. [PDF]

open access: yesPLoS ONE, 2018
A simple approach to enable water-management agencies employing free data to create a single set of water quality predictive equations with satisfactory accuracy is proposed. Multiple regression-derived equations based on surface reflectance, band ratios,
Min-Cheng Tu   +2 more
doaj   +2 more sources

Predictive Mapping of Topsoil Organic Carbon in an Alpine Environment Aided by Landsat TM. [PDF]

open access: yesPLoS ONE, 2015
The objective of this study was to examine the reflectance of Landsat TM imagery for mapping soil organic Carbon (SOC) content in an Alpine environment. The studied area (ca. 3*104 km2) is the upper reaches of the Heihe River at the northeast edge of the
Renmin Yang   +8 more
doaj   +2 more sources

Satellite Remote Sensing of Alpine Vegetation Dynamics: Challenges and Perspectives. [PDF]

open access: yesGlob Chang Biol
Satellite greening has become a key tool for monitoring alpine vegetation change, but a positive vegetation‐index trend is not an ecological observation in itself. This perspective shows that interpreting alpine greening requires addressing two sequential challenges: methodological complexity, which can bias trends during image processing, and ...
Bayle A.
europepmc   +2 more sources

Using Landsat Satellite Imagery to Investigate Spatial and Temporal Variation in Life History Traits in a Long-Term Study Population of Superb Fairy-Wrens <i>Malurus cyaneus</i>. [PDF]

open access: yesEcol Evol
We used 27 years of data from an insectivorous passerine in southeastern Australia, the superb fairy‐wren Malurus cyaneus, to assess how climate variation influences vegetation productivity and, indirectly, reproduction and survival via potential trophic interactions.
Turner RS   +6 more
europepmc   +2 more sources

The Methodology and Results from Ground Validation of Satellite Observations at Gas Flaring Sites in Nigeria

open access: yesInternational Journal of Environment and Geoinformatics, 2021
This study examines the need/importance for ground validation of Landsat 5 Thematic Mapper (TM) and Landsat 7 Enhanced Thematic Mapper Plus (ETM+) observation at 2 gas flaring sites in Rivers State of Niger Delta, Nigeria. 12 Landsat imageries (3 Landsat
Barnabas O. Morakinyo   +2 more
doaj   +1 more source

Empirical Estimation of Nutrient, Organic Matter and Algal Chlorophyll in a Drinking Water Reservoir Using Landsat 5 TM Data

open access: yesRemote Sensing, 2021
The main objective of this study was to develop empirical models from Landsat 5 TM data to monitor nutrient (total phosphorus: TP), organic matter (biological oxygen demand: BOD), and algal chlorophyll (chlorophyll-a: CHL-a).
Md Mamun, Jannatul Ferdous, Kwang-Guk An
doaj   +1 more source

A Framework of Generating Land Surface Reflectance of China Early Landsat MSS Images by Visibility Data and Its Evaluation

open access: yesRemote Sensing, 2022
The Landsat time-series dataset is one of the most widely used datasets for land surface research due to its long time-series and Land Surface Reflectance (LSR) product.
Cong Zhao, Zihua Wu, Qiming Qin, Xin Ye
doaj   +1 more source

Inconsistency among Landsat Sensors in Land Surface Mapping: A Comprehensive Investigation Based on Simulation

open access: yesRemote Sensing, 2021
Comprehensive investigations on the between-sensor comparability among Landsat sensors have been relatively limited compared with the increasing use of multi-temporal Landsat records in time series analyses.
Feng Chen   +6 more
doaj   +1 more source

Comparative analysis of Landsat TM, ETM+, OLI and EO-1 ALI satellite images at the Tisza-tó area, Hungary [PDF]

open access: yesActa Geographica Debrecina. Landscape & Environment Series, 2016
Satellite images are important information sources of land cover analysis or land cover change monitoring. We used the sensors of four different spacecraft: TM, ETM+, OLI and ALI.
Loránd Szabó   +2 more
doaj   +1 more source

ISO Cluster classifier by ArcGIS for unsupervised classification of the Landsat TM image of Reykjavík [PDF]

open access: yesBulletin of Natural Sciences Research, 2021
The paper presents the use of the Landsat TM image processed by the ArcGIS Spatial Analyst Tool for environmental mapping of southwestern Iceland, region of Reykjavik.
Lemenkova Polina
doaj   +1 more source

Home - About - Disclaimer - Privacy