Results 271 to 280 of about 131,838 (305)

The interpretation of spectral vegetation indexes

IEEE Transactions on Geoscience and Remote Sensing, 1995
Empirical studies report several plausible correlations between transforms of spectral reflectance, called vegetation indexes, and parameters descriptive of vegetation leaf area, biomass and physiological functioning. However, most indexes can be generalized to show a derivative of surface reflectance with respect to wavelength.
Ranga B. Myneni, Forrest G. Hall, Piers J. Sellers, Alexander L. Marshak   +3 more
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The Vegetation Index and the Study of Vegetation Dynamics

1989
The presentation reviews the basic principles supporting the derivation and analysis of vegetation indices from spectral data. The relationships between the normalized difference vegetation index and the vegetation characteristics is discussed, with emphasis upon dynamic processes important in biomass accumulation. Since time-series of vegetation index
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Flooding Identification by Vegetation Index

2020
In this chapter, flooding identification by vegetation index was conducted by using SAR images and multispectral images in order to obtain the flooding period of the study area.
Chunxiang Cao, Min Xu, Patcharin Kamsing, Sornkitja Boonprong, Peera Yomwan, Apitach Saokarn   +5 more
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Radar Vegetation Index for Estimating the Vegetation Water Content of Rice and Soybean

IEEE Geoscience and Remote Sensing Letters, 2012
Vegetation water content (VWC) is an important biophysical parameter and has a significant role in the retrieval of soil moisture using microwave remote sensing. Here, the radar vegetation index (RVI) was evaluated for estimating VWC. Analysis utilized a data set obtained by a ground-based multifrequency polarimetric scatterometer system, with a single
YiHyun Kim, Thomas J. Jackson, Rajat Bindlish, Hoonyol Lee, Sukyoung Hong   +4 more
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Assessing vegetation degradation in Loess Plateau by using potential vegetation index

2007 IEEE International Geoscience and Remote Sensing Symposium, 2007
The potential vegetation index determined by environmental conditions especially climate is the ideal baseline for assessing vegetation degradation based on remote sensing. After eliminating irrigated areas. This paper estimated the potential vegetation index by imitating upper borderline of scatter spots in the coordinates space of climate aridity ...
Jianguo Sun, Tinghua Ai, Chuanyan Zhao, Haowen Yan   +3 more
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An evaluation of prediction accuracy and stability of a new vegetation index for estimating vegetation leaf area index

SPIE Proceedings, 2014
LAI is a crucial parameter and a basic quantity indicating crop growth situation. Empirical models comprising spectral indices (SIs) and LAI have widely been applied to the retrieval of LAI. SI method already has exhibited feasibility in the estimation of vegetation LAI.
Hailing Jiang, Lifu Zhang, Hang Yang, Xiaoping Chen, Shudong Wang, Xueke Li, Kai Liu   +6 more
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A new vegetation index and its principle and application

IGARSS 2003. 2003 IEEE International Geoscience and Remote Sensing Symposium. Proceedings (IEEE Cat. No.03CH37477), 2004
Aiming at shortages of current vegetation indices, we put forward Three-band Gradient Difference Vegetation In- dex(TGDVI), and established algorithms to inverse crown cover fraction and Leaf Area Index(LAI) from it. Theoretical analysis and model simulation show that TGDVI has high saturation point and the ability to remove the influence of background,
Shihao Tang, Qijiang Zhu, Yanmin Shuai, Donghui Xie, Gongle Zhou   +4 more
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Prediction of leaf area index in almonds by vegetation indexes

Computers and Electronics in Agriculture, 2012
Three levels of scale for determining leaf area index (LAI) were explored within an almond orchard of alternating rows of Nonpareil and Monterey varieties using hemispherical photography and mule lightbar (MLB) at ground level up to airborne and satellite imagery.
Jose L. Zarate-Valdez, Michael L. Whiting, Bruce D. Lampinen, Samuel Metcalf, Susan L. Ustin, Patrick H. Brown   +5 more
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Calculating the vegetation index faster

Remote Sensing of Environment, 1990
The NIR versus red 'infrared percentage vegetation index', NIR/(NIR + Red), is functionally and linearly equivalent to the normalized difference vegetation index, (NIR-Red)/(NIR + Red). Advantageously, it is both computationally faster and never negative.
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Microwave polarization index for monitoring vegetation growth

IEEE Transactions on Geoscience and Remote Sensing, 1988
It is known that microwave emission for soil is partially polarized, whereas the polarization degree of radiation from crops is either very small or equal to zero. The effect of vegetation on the polarized emission from the soil is analyzed by means of a model based on the radiative transfer theory.
Paloscia S, Pampaloni P
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