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Vegetation as an indicator of environmental changes

Environmental Monitoring and Assessment, 1983
Composition of the vegetation and the properties of its environment are related, as was shown by research. In these, mostly statistical-correlative studies, both the vegetation and some growth factors, such as plant nutrients and moisture supply were analyzed and studied on interdependence.At present the environmental conditions can be estimated in the
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Operational NOAA vegetation indices-absorbed PAR relationships for Sahelian vegetation canopies

1995 International Geoscience and Remote Sensing Symposium, IGARSS '95. Quantitative Remote Sensing for Science and Applications, 2002
In order to improve the estimation of primary production at a regional scale through a better assessment of the fraction of Absorbed PAR (fAPAR) from spectral vegetation indices (VI), the case of the Sahelian vegetation is investigated using a 3D radiative transfer model.
Bégué, Agnès, Myneni, R.
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Monitoring the vegetation activity in China using vegetation health indices

Agricultural and Forest Meteorology, 2018
Abstract Terrestrial vegetation plays pivotal roles on land-atmosphere interactions, and even global climate change. However, limited attempts have been taken to elucidate the responses of vegetation activity to weather-related drivers (e.g., droughts, floods). This is especially in China with vast area and changeable meteorological conditions.
Fengsong Pei   +8 more
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Vegetation indices for Landsat images

Proceeding of Southwest Symposium on Image Analysis and Interpretation, 2002
Satellite-based remote sensing of vegetation densities is a growing technology with great future potential owing to the proliferation of increasingly sophisticated space-based sensors and the computational tools required to analyze the wealth of data. We explore algorithms that create vegetation mappings from the satellite image data.
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The reliability of vegetation indices for monitoring saltmarsh vegetation cover

International Journal of Remote Sensing, 1997
The dynamic nature of saltmarshes poses a challenge for coastal zone monitoring; natural variability in the sediment reflectance and atmospheric visibility within saltmarsh environment affects the reliability of regression relations between vegetation cover and vegetation indices.
J. A. Eastwood   +3 more
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Can vegetation indicate landfill cover features?

Flora - Morphology, Distribution, Functional Ecology of Plants, 2011
Generally, great efforts are made in measuring features of landfill covers. However, conventional physical or chemical parameters reach their limits in indicating the small scale changes of the habitats. Bio-indication is a proven tool to assess habitat conditions.
Johannes Tintner, Brigitte Klug
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Functional equivalence of spectral vegetation indices

Remote Sensing of Environment, 1984
Abstract Numerous formulae, vegetation indices, have been developed to reduce multispectral scanner (MSS) data to a single number for assessing vegetation characteristics such as species, leaf area, stress, and biomass. Part I of this report gives the history and formulae of some four dozen vegetation indices.
Charles R. Perry, Lyle F. Lautenschlager
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Vegetation as Indicator of Environmental Pollution

Transactions of the Institute of British Geographers, 1984
The environment can be polluted by industrial emissions and effluents and by dumped waste materials from mines. Most pollutants constitute health hazards and some like mercury and lead can cause disease and death. Toxic conditions can also occur in the natural environment notably where mineral elements, particularly heavy metals emanating from ...
Monica M. Cole, Roger F. Smith
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Toward Standardization of Vegetation Indices

Toward Standardization of Vegetation ...
Steven, Michael D.   +2 more
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Radar vegetation indices for monitoring surface vegetation: Developments, challenges, and trends

Science of The Total Environment
Monitoring surface vegetation is essential for environmental protection, disaster prevention, and carbon sequestration in forests. However, optical remote-sensing methods and their derivative technologies typically fail to fully meet this requirement due to constraints such as lighting and weather.
Xueqian, Hu   +7 more
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