Results 21 to 30 of about 16,756 (230)

Semivariogram analysis of Landsat 5 TM textural data for loblolly pine forests

open access: yesJournal of Forest Science, 2005
The objective of this study was to evaluate the applicability of Landsat 5 TM images for analysing the textural information on pine forest stands in western Georgia, United States.
J. Zawadzki, Ch.J. Cieszewski, M. Zasada
doaj   +1 more source

Evaluation of MODIS-Landsat and AVHRR-Landsat NDVI data fusion using a single pair base reference image: a case study in a tropical upstream catchment on Java, Indonesia

open access: yesInternational Journal of Digital Earth, 2022
Image blending is one of the alternative methods to fill temporal gaps in the monitoring of historical vegetation properties using continuous NDVI derived from Landsat 5 TM / 7 ETM+ and 8 OLI images.
Andry Rustanto, Martijn J. Booij
doaj   +1 more source

Normalized Difference Vegetation Index Continuity of the Landsat 4-5 MSS and TM: Investigations Based on Simulation

open access: yesRemote Sensing, 2019
Landsat 4-5, built at the same time and with the same design, carrying the Multispectral Scanner System (MSS) and the Thematic Mapper (TM) simultaneously, jointly provided observation service for about 30 years (1982−2013).
Feng Chen   +6 more
doaj   +1 more source

CHANGE DETECTION OF LAKE ABA SAMUEL IN ETHIOPIA [PDF]

open access: yesThe International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2016
Old topographic map published in 1975 elaborated from aerial photographs taken in 1972, Landsat TM data acquired in May 1986 and Landsat ETM+ from June 2002 have been used to assess the changes of the lake Aba Samuel in Ethiopia.
R. Kaczynski, A. Rylko
doaj   +1 more source

Caracterização de Cicatrizes de Deslizamentos por Processamento de Dados TM Landsat em Caraguatatuba - SP [PDF]

open access: yesGeologia USP. Série Científica, 2004
O objetivo deste trabalho é identificar e caracterizar cicatrizes de deslizamentos através de dados TM Landsat 5. A áreade estudo é um setor da Serra do Mar, no município de Caraguatatuba (Estado de São Paulo), a qual é susceptível a essesprocessos ...
Marcelo Francisco Sestini   +1 more
doaj   +3 more sources

Predictions of forest inventory cover type proportions using Landsat TM

open access: yesSilva Fennica, 2000
The feasibility of generating via Landsat TM data current estimates of cover type proportions for areas lacking this information in the national forest inventory was explored by a case study in New Brunswick.
Magnussen, Steen   +3 more
doaj   +1 more source

CHROMITITE PROSPECTING USING LANDSAT TM AND ASTER REMOTE SENSING DATA [PDF]

open access: yesISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2015
Studying the ophiolite complexes using multispectral remote sensing satellite data are interesting because of high diversity of minerals and the source of podiform chromitites.
A. Beiranvand Pour   +2 more
doaj   +1 more source

Characteristics of Landsat 5 TM bands.

open access: yes, 2022
Characteristics of Landsat 5 TM bands.
Saleh Alfarraj (6011678)   +6 more
core   +1 more source

ANALISIS PERUBAHAN KAWASAN TERBANGUN KOTA SURABAYA BERDASARKAN METODE MULTI TEMPORAL CITRA LANDSAT THEMATIC MAPPER

open access: yesMajalah Geografi Indonesia, 2016
ABSTRAK Perkembangan kawasan terbangun yang objektif dalam wilayah perkotaan dengan pengukuran secara langsung di lapangan akan mendapatkan banyak kesulitan, membutuhkan waktu panjang dan memerlukan biaya yang besar.
Nurdin Nurdin Nurdin   +1 more
doaj   +1 more source

Landsat TM imagery and NDVI differencing to detect vegetation change: assessing natural forest expansion in Basilicata, southern Italy

open access: yesiForest - Biogeosciences and Forestry, 2014
The NDVI (Normalized Difference Vegetation Index) differencing method using Landsat Thematic Mapping images was implemented to assess natural expansion of forests in the Basilicata region (southern Italy) for the period 1984 through 2010. Two Landsat TM (
Mancino G   +3 more
doaj   +1 more source

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