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Landsat Imagery

Overcoming limitations with Landsat imagery for mapping of peat swamp forests in Sundaland

Overcoming limitations with Landsat imagery for mapping of peat swamp forests in Sundaland

... limitations, Landsat imagery has attractive qualities in the context of monitoring regional changes to forest habitat and biodiversity ...coarser imagery [18,31,32], and better detects smaller forest ...

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Analysing neo tectonic effects on gully development within orlu and environs south eastern nigeria from landsat imagery and azimuthal  sounding data

Analysing neo tectonic effects on gully development within orlu and environs south eastern nigeria from landsat imagery and azimuthal sounding data

... interpreted Landsat-ETM imageries were also used to determine the lineaments and their trends in the study ...from Landsat images revealed two structural trends of NW-SE and NE-SW with the NW-SE being ...

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Assessing Change and Vulnerability of the Guyana Coastline with Multi-Temporal Landsat Imagery and Survey Data

Assessing Change and Vulnerability of the Guyana Coastline with Multi-Temporal Landsat Imagery and Survey Data

... Gomez et al. (2014) provide useful insights for the application of coastal extraction techniques. They developed a vulnerability indicator based on transitions from vegetation to sand to water. They studied shoreline ...

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Optimal land cover mapping and change analysis in northeastern oregon using landsat imagery.

Optimal land cover mapping and change analysis in northeastern oregon using landsat imagery.

... 2011 imagery were per- formed (10 scale × 6 shape × 2 environments × 2 algorithms = 240 classifications in ...the imagery, whereas pixels rely purely on the training data’s per-band mean values and ...

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The Relationship between R&D Investment and Dividend Payment Tax Incentives and Their Role in the Dividend Tax Puzzle

The Relationship between R&D Investment and Dividend Payment Tax Incentives and Their Role in the Dividend Tax Puzzle

... For this study 25 sample PIF radiometric control target points were chosen from each Landsat image and converted to a shapefile in ESRI’s ArcView 3.2 software. In keeping with the criteria outlined above, the ...

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Human and environmental controls over aboveground carbon storage in Madagascar

Human and environmental controls over aboveground carbon storage in Madagascar

... was to develop an improved method to scale up the LiDAR-based data to the regional level using freely available satellite imagery. To that end, we examined relationships between ACD and elevation data, the latter ...

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Integrating field and satellite data for spatially-explicit inference on the density of threatened primates

Integrating field and satellite data for spatially-explicit inference on the density of threatened primates

... 79 Our specific objectives were to: a model measured basal area against a combination of different 80 metrics and indices derived from Landsat imagery; b test the performance of the best[r] ...

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Mapping burn severity in a disease-impacted forest landscape using Landsat and MASTER imagery

Mapping burn severity in a disease-impacted forest landscape using Landsat and MASTER imagery

... post-fire) Landsat imagery and (post-fire) high-spectral resolution airborne MASTER data [MODIS (moderate resolution imaging spectroradiometer)/ASTER (advanced spaceborne thermal emission and reflection ...

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Compare NDVI Extracted from Landsat 8 Imagery with that from Landsat 7 Imagery

Compare NDVI Extracted from Landsat 8 Imagery with that from Landsat 7 Imagery

... Abstract: Landsat 8, the ongoing mission of the Landsat satellites that have provided over 40 years of images, continues to benefit long-term ...of Landsat 8 are of the same standard as previous ...

5

A Landsat-based model for retrieving total suspended solids concentration of estuaries and coasts in China

A Landsat-based model for retrieving total suspended solids concentration of estuaries and coasts in China

... prior Landsat instruments, with the addition of two new spectral bands: a deep blue visible channel (band 1) specifically designed for water re- sources and coastal zone investigation, and a new infrared channel ...

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Opportunities for the application of advanced remotely-sensed data in ecological studies of terrestrial animal movement

Opportunities for the application of advanced remotely-sensed data in ecological studies of terrestrial animal movement

... Animal movement patterns in space and time are a central aspect of animal ecology. Remotely-sensed environmental indices can play a key role in understanding movement patterns by providing contiguous, relatively ...

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Open Data Cube for Natural Resources Mapping in Mexico

Open Data Cube for Natural Resources Mapping in Mexico

... In Mexico, INEGI has the responsibility of generating timely, relevant and truthful information with a high level of quality, for contributing to the national development and growth. To achieve this goal it is essential ...

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Monitoring Urban Spatial Growth in Harare Metropolitan Province, Zimbabwe

Monitoring Urban Spatial Growth in Harare Metropolitan Province, Zimbabwe

... Taking Harare metropolitan province in Zimbabwe as an example, we classified Landsat imagery (1984, 2002, 2008 and 2013) by using support vector machines (SVMs) and analyzed built-up and non-built-up ...

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Using multi-temporal landsat images and support vector machine to assess the changes in agricultural irrigated areas in the Mogtedo Region, Burkina Faso

Using multi-temporal landsat images and support vector machine to assess the changes in agricultural irrigated areas in the Mogtedo Region, Burkina Faso

... on Landsat imagery (Thematic Mapper, Enhanced Thematic Mapper Plus, and Operational Land Imager) and using Support Vector Machine (SVM) classification was developed to detect the changes in proportion of ...

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Integrating field and satellite data for spatially explicit inference on the density of threatened arboreal primates

Integrating field and satellite data for spatially explicit inference on the density of threatened arboreal primates

... from Landsat imagery; (2) test the performance of the best- performing model to predict values of basal area outside of the sampled areas; (3) use the results to derive a spatial map of population density ...

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Surface water monitoring in small water bodies: potential and limits of multi sensor Landsat time series

Surface water monitoring in small water bodies: potential and limits of multi sensor Landsat time series

... multispectral imagery from 26 May 2013 was used to identify standing and floating vegetation on the seven lakes based on superior NDVI (Nor- malised Difference Vegetation Index) values and discuss the performance ...

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The Site of Biological and Ecological Interest (SBEI) of Ain Asmama: 20 Years Later, What Are Changes?

The Site of Biological and Ecological Interest (SBEI) of Ain Asmama: 20 Years Later, What Are Changes?

... of LANDSAT images has shown that, during the period 1988-2000, the forests area decreased to the benefit of cultural practices (period before the creation of the SBEI), while the shrub strata distribution area has ...

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Geographic Analysis of Burn Severity for the 2013 California Rim Fire

Geographic Analysis of Burn Severity for the 2013 California Rim Fire

... of Landsat imagery was applied to classify burn severity within the 2013 Rim Fire area using the relative difference normalized burn ratio ...2013 Landsat vegetation index (NDVI) values between 500 ...

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Futurecasting ecological research: the rise of technoecology

Futurecasting ecological research: the rise of technoecology

... Technology Past Sonar Automated sensors Camera traps Sidescan sonar Mainframe computers VHF tracking Landsat imagery Sanger sequencing LiDAR Multispectral Landsat Thermal bio-loggers GPS[r] ...

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Analysis of the Relationship between Land Surface Temperature and Vegetation and Built Up Indices in Upper Hill, Nairobi

Analysis of the Relationship between Land Surface Temperature and Vegetation and Built Up Indices in Upper Hill, Nairobi

... from Landsat imagery for the periods 1987, 2002, 2015 and 2017 to determine changes in land surface temperatures over a 30 year period and it’s relation to land cover changes using ...

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