Results 31 to 40 of about 11,979,943 (123)

Long‐term trends in greenness in the alpine zone of northeastern North America from remote sensing

open access: yesEcosphere, Volume 17, Issue 9, September 2026.
Abstract Alpine zones above treeline in the Appalachian Mountains and adjacent ranges of northeastern North America support distinctive ecological communities that thrive where conditions are too harsh for trees to grow. These communities differ from alpine zones elsewhere on the continent and are a regionally important source of floristic biodiversity,
Jonathan W. Chipman   +2 more
wiley   +1 more source

Crop identification and area estimation through the combined use of satellite and field data for county Durham, northern England [PDF]

open access: yes, 1990
This thesis investigates the use of combined field and satellite data for crop identification and area estimation in County Durham, Northeast England. The satellite data were obtained by the Thematic Mapper (TM) sensor onboard Landsat-5 on 31 May 1985 ...
Shueb, Saleh Saber
core  

Aplicação das imagens de sensoriamento remoto para avaliar alguns parâmetros da qualidade da água de lagoas artificiais em áreas de mineração [PDF]

open access: yes, 2000
Dissertação (mestrado) - Universidade Federal de Santa Catarina, Centro Tecnológico.O objetivo desta pesquisa foi avaliar a potencialidade das imagens de sensoriamento remoto para determinar a qualidade da água de lagoas localizadas em áreas de mineração
Graciani, Silvio Daniel
core  

Landsat TM and SRTM satellite data for geological mapping in TR opical environments: a case study from Peninsular Malaysia

open access: yes, 2015
Landsat Thematic Mapper (TM) and Shuttle Radar Topography Mission (SRTM) data were used to produce geological maps in tropical environments. Lineament, lithology and landform maps were produced for all states in peninsular Malaysia in this study.
Hashim, Mazlan, Pour, Amin Beiranvand
core  

Model Penduga Biomassa dan Indeks Luas Daun Vegetasi Mangrove Menggunakan Data Landsat-TM dan SPOT-XS di Segara Anakan, Cilacap

open access: yes, 2000
The objective of this study is to find mathematical correlation model between digital number (DN) and vegetation indexes of Landsat-TM and SPQT-XS with biomass above ground surface and leaf area index (LAI) in mangrove forest.
Chandra Budi   +3 more
core  

Prediction and validation of foliage projective cover from Landsat-5 TM and Landsat-7 ETM+ imagery

open access: yes, 2009
The detection of long term trends in woody vegetation in Queensland, Australia, from the Landsat-5 TM and Landsat-7 ETM+ sensors requires the automated prediction of overstorey foliage projective cover (FPC) from a large volume of Landsat imagery.
Danaher, Tim J.   +4 more
core   +1 more source

????????? Landsat TM ????????? ??????????????? ????????? ????????????????????? ?????? ????????????????????? ?????? ??????

open access: yes, 2015
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Kim, Kyoung-Min   +3 more
core  

Detection of Changes in Coral Reef Communities Using Landsat-5 Tm and Landsat-7 Etm+ Data

open access: yes, 2003
Satellite remote sensing is increasingly used to map and monitor coral reefs. From 1984 to the present, Landsat-5 thematic mapper (TM) and Landsat-7 enhanced thematic mapper plus (ETM+) images provide the longest time series available for change ...
Muller-Karger, Frank E   +11 more
core   +1 more source

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

open access: yes, 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).
Jannatul Ferdous, Md Mamun, Kwang-Guk An
core   +1 more source

Accuracy comparison of Quickbird, Landsat TM and SPOT 5 imagery for 'Lantana camara' mapping

open access: yes, 2011
The distribution of an invasive species, 'Lantana camara' L., was mapped using Landsat TM, SPOT 5 and Quickbird imagery with the maximum likelihood supervised classification method.
Taylor, Subhashni   +5 more
core   +1 more source

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