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Analysis of Topographic Effects on Vegetation Indices
IGARSS 2019 - 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019In the field of remote sensing, vegetation indices (VIs) have been wieldy used in vegetation monitoring such as the growth status and fractional vegetation cover. However, topographic influence on VIs is an important and inevitable issue when VIs are applied in the large scale. In this study, theoretical error analysis of topographic effects is applied
Junxiong Zhou 0003, Jin Chen
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A comparison of vegetation indices for corn and soybean vegetation condition monitoring
2009 IEEE International Geoscience and Remote Sensing Symposium, 2009The continuous crop condition monitoring with a full geospatial coverage and sufficient granularity throughout the season is critical to decision making in agricultural policy, production, and food prices. The USDA NASS currently uses bi-weekly 1km AVHRR NDVI composited data to monitor the US crop condition in the growing season.
Zhengwei Yang 0002 +3 more
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Monitoring Vegetation Water Content Using Microwave Vegetation Indices
IGARSS 2008 - 2008 IEEE International Geoscience and Remote Sensing Symposium, 2008Effectively monitoring vegetation water is essential to improve our understanding of agriculture and hydrology. Vegetation water content is often estimated using vegetation indices derived from optical satellite sensors. In this study, we introduced the new microwave vegetation indices (MVIs) and derived the new MVIs using observation from the Advanced
Jing Tao +5 more
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Vegetation spatial variability and its effect on vegetation indices
International Journal of Remote Sensing, 1987Landsat MSS data were used to simulate low resolution satellite data, such as NOAA AVHRR, to quantify the fractional vegetation cover within a pixel and relate the fractional cover to the normalized difference vegetation index (NDVI) and the simple ratio (SR).
J. P. ORMSBY, B. J. CHOUDHURY, M. OWE
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2011
Most remote sensing satellite sensors offer multispectral images besides panchromatic images. This multispectral information is extremely valuable to detect various objects in the image. In this book, we summarize the multispectral information via vegetation and shadow–water indices.
Cem Ünsalan, Kim L. Boyer
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Most remote sensing satellite sensors offer multispectral images besides panchromatic images. This multispectral information is extremely valuable to detect various objects in the image. In this book, we summarize the multispectral information via vegetation and shadow–water indices.
Cem Ünsalan, Kim L. Boyer
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Refinement of microwave vegetation indices
SPIE Proceedings, 2010Previous investigations have established the basis for a new type of vegetation index, Microwave Vegetation Indices (MVIs), based on passive microwave satellite observations. In this technique, the quantitative basis of the MVIs can be derived from the zeroth-order radiative transfer solution.
L. Chai, J. Shi, L. Zhang, T. Jackson
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Relationships between percent vegetation cover and vegetation indices
International Journal of Remote Sensing, 1998In this paper, percent vegetation cover is estimated from vegetation indices using simulated Advanced Very High Resolution Radiometer (AVHRR) data derived from in situ spectral reflectance data. Spectral reflectance measurements were conducted on grasslands in Mongolia and Japan.
TS. Purevdorj +3 more
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Vegetation as Indicator of Environmental Pollution
Transactions of the Institute of British Geographers, 1984The 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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Are vegetation indices useful in the Arctic?
Polar Record, 1998AbstractThis paper describes a preliminary investigation of the extent to which the normalised difference vegetation index (NDVI), derived from satellite optical imagery, can indicate the extent of damage to upland tundra (fruticose lichen and dwarf shrub) vegetation.
Rees WG, Golubeva EI, Williams M
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Vegetation indices in crop assessments
Remote Sensing of Environment, 1991Abstract Vegetation indices (VI), such as greenness (GVI), perpendicular (PVI), transformed soil adjusted (TSAVI), and normalized difference (NDVI), measure the photosynthetic size of plant canopies and portend yields. A set of equations, called spectral components analysis (SCA), that interrelates VI or cumulative seasonal VI (∑VI), leaf area index (
C.L. Wiegand +3 more
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