Journal ArticleDOI
Analysis of Sahelian vegetation dynamics using NOAA-AVHRR NDVI data from 1981–2003
TLDR
In this article, a 23-year time series of Remotely sensed measurements from NOAA-AVHRR expressed as normalized difference vegetation index (NDVI) have been used for long-term studies of Sahel region.About:
This article is published in Journal of Arid Environments.The article was published on 2005-11-01. It has received 727 citations till now. The article focuses on the topics: Enhanced vegetation index & Normalized Difference Vegetation Index.read more
Citations
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Assessment of NDVI and NDWI spectral indices using MODIS time series analysis and development of a new spectral index based on MODIS shortwave infrared bands
TL;DR: In this article, a spectral index called Shortwave Angle Normalized Index (SANI) was proposed based on the NIR and SWIR MODIS bands, which measures the angle at SWIR 1 and the normalized index at NIR 2 and showed an overall negative trend in precipitation levels from 2000 to 2005.
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An investigation into the freshwater variability in West Africa during 1979‐2010
Journal ArticleDOI
Phases or regimes? Revisiting NDVI trends as proxies for land degradation
Marcos Horacio Easdale,Marcos Horacio Easdale,Octavio Augusto Bruzzone,Octavio Augusto Bruzzone,Paul Mapfumo,Pablo Tittonell,Pablo Tittonell +6 more
TL;DR: In this paper, the authors examined the limitations associated with using linear normalized difference vegetation index trends as proxies for land degradation by comparing outcomes with an alternative methodological procedure based on wavelet autoregressive methods.
Posted Content
An integrated assessment of the impact of precipitation and groundwater on vegetation growth in arid and semiarid areas
TL;DR: Wang et al. as mentioned in this paper developed an integrated framework to assess the impact of precipitation and groundwater on vegetation growth in the Xiliao River Plain of northern China, which systematically combines remote sensing technology with water flow modeling in the vadose zone and field data analysis.
Book
A Second Reader
TL;DR: This presentation describes technical details of the WLS derivation process, resulting quality metrics, and the roles it plays in adaptive-CER development.
References
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Red and photographic infrared linear combinations for monitoring vegetation
TL;DR: In this article, the relationship between various linear combinations of red and photographic infrared radiances and vegetation parameters is investigated, showing that red-IR combinations to be more significant than green-red combinations.
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Global and Regional Scale Precipitation Patterns Associated with the El Niño/Southern Oscillation
TL;DR: In this article, the amplitude and phase of the Arm harmonic fitted to the 24-month composite values are plotted in the form of a vector for each station, which reveals both the regions of spatially coherent ENSO-related precipitation and the phase of this signal in relation to the evolution of the composite episode.
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Climate-Driven Increases in Global Terrestrial Net Primary Production from 1982 to 1999
Ramakrishna R. Nemani,Charles D. Keeling,Hirofumi Hashimoto,Hirofumi Hashimoto,William M. Jolly,Stephen C. Piper,Compton J. Tucker,Ranga B. Myneni,Steven W. Running +8 more
TL;DR: It is indicated that global changes in climate have eased several critical climatic constraints to plant growth, such that net primary production increased 6% (3.4 petagrams of carbon over 18 years) globally.
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Characteristics of maximum-value composite images from temporal AVHRR data
TL;DR: In this paper, satellite data from the Advanced Very High Resolution Radiometer sensor have been processed over several days and combined to produce spatially continuous cloud-free imagery over large areas with sufficient temporal resolution to study green-vegetation dynamics.
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Canopy reflectance, photosynthesis and transpiration
TL;DR: In this paper, a two-stream approximation model of radiative transfer was used to calculate values of hemispheric canopy reflectance in the visible and near-infrared wavelength intervals.