Journal Article10.1016/0034-4257(90)90085-Z
Calculating the vegetation index faster
579
TL;DR: 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), which is both computationally faster and never negative as discussed by the authors.
read more
About: This article is published in Remote Sensing of Environment. The article was published on 01 Oct 1990. The article focuses on the topics: Normalized Difference Vegetation Index.
read more
Chat with Paper
AI Agents for this Paper
Find similar papers on Google Scholar, PubMed and Arxiv
Write a critical review of this paper
Analyze citations of this paper to find unaddressed research gaps
Citations
Modeling strawberry biomass and leaf area using object-based analysis of high-resolution images
TL;DR: In this paper, a mobile field data acquisition system was used to acquire thousands of very high resolution (~0.5mm) close-range images seven times throughout the strawberry growing season.
DIGITALESCAPE Project—Aerial Remote Sensing, HBIM, and Archaeology for the Preservation and Dissemination of the Cultural Heritage at Risk in the Sierra Sur and Sierra Morena Regions
TL;DR: In this paper , the authors present the early implementation of an ongoing methodological approach designed to alleviate the situation of few conservation plans for landscape conservation and the optimal use of the province of Jaén (Andalusia, Spain).
ICESat-2 for Canopy Cover Estimation at Large-Scale on a Cloud-Based Platform
TL;DR: In this article , the authors proposed a novel approach to compute categorized canopy cover using photon-counting data and available ancillary Landsat images to build the canopy cover model.
A Normalised Difference Vegetation Index Model for Maize Crop Performance Monitoring and Cropland Area Mapping in Sudan Ecological Zone of Nigeria
Onyibe, J. E.,Wahab, A. A.,Dahiru B.,Durojaiye, L. O.,Muibi, K. H. +4 more
TL;DR: A Normalised Difference Vegetation Index (NDVI) model for maize crop performance monitoring and cropland area mapping in Sudan Ecological Zone of Nigeria reveals the potential of using vegetation indices calculated from Sentinel-2A MSI data for crop health assessment and cropland area mapping in developing countries.
Climate-Triggered Insect Defoliators and Forest Fires Using Multitemporal Landsat and TerraClimate Data in NE Iran: An Application of GEOBIA TreeNet and Panel Data Analysis
TL;DR: This research proposes testing the combination of object features of Landsat 8 OLI with other data for monitoring near-real-time defoliation and pathogens in forests.
References
A soil-adjusted vegetation index (SAVI)
TL;DR: In this article, a transformation technique was presented to minimize soil brightness influences from spectral vegetation indices involving red and near-infrared (NIR) wavelengths, which nearly eliminated soil-induced variations in vegetation indices.
6.8K
Derivation of leaf-area index from quality of light on the forest floor
TL;DR: The Leaf—area index of a forest can be measured by determining the ratio of light at 800 μm to that at 675 μm on the forest floor, based on the principle that leaves absorb relatively more red than infrared light.
2.4K
•Journal Article
Distinguishing vegetation from soil background information
A J Richardsons,A L Wiegand +1 more
TL;DR: In this article, a study of the soil reflectance that supplies the background signal of vegetated surfaces is presented, taking into account a study reported by Kauth and Thomas (1976) and the determination of Kauth's plane of soils, sun angle effects, vegetation index modeling, and evaluation of vegetation indexes.
1.5K