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
Remote Sensing of Invasive Lantana camara (Verbenaceae) in Semiarid Savanna Rangeland Ecosystems of South Africa
Timothy Dube,Cletah Shoko,Mbulisi Sibanda,Paschaline Madileng,Xivutiso G. Maluleke,Velma R. Mokwatedi,Lorencia Tibane,Tebogo Tshebesebe +7 more
TL;DR: In this article, the authors demonstrate the first comparative assessment of Landsat 8 Operational Land Imager (OLI) and Sentinel-2 Multispectral Instrument (MSI) satellite data in detecting and mapping of invasive Lantana camara (L. camara) is one of the key drivers of social-ecological and environmental change.
25
Land Cover and Forest Type Classification by Values of Vegetation Indices and Forest Structure of Tropical Lowland Forests in Central Vietnam
TL;DR: In this article, the authors used a random forest algorithm for land cover classification with vertical and horizontal structures of tropical lowland forests in Central Vietnam, and the results showed that six out of ten vegetation indices had a significant correlation with the horizontal structure of trees.
Feature Selection and Classifier Development for Radio Frequency Device Identification
Trevor J Bihl
- 01 Dec 2015
TL;DR: A new GRLVQI-Distance (GRLV QI-D) classifier is introduced that extends prior GRLvQI work by supporting alternative distance measures and provides a phenomenological understanding of test statistics and p-values.
Improving the estimation of alpine grassland fractional vegetation cover using optimized algorithms and multi-dimensional features.
TL;DR: Zhang et al. as mentioned in this paper presented estimations of alpine grassland fractional vegetation cover (FVC) using optimized algorithms and multi-dimensional features, and the optimal feature subset was determined based on different feature selection algorithms as the driving data for optimized machine learning algorithms.
Estimation of annual rate and spatial distribution of soil erosion in the Jamuna basin using RUSLE model: A geospatial approach
TL;DR: In this paper , the Revised Universal Soil Loss Equation (RUSLE) methodology integrated with Remote Sensing and Geographic Information System (GIS) was applied to compute the annual soil erosion rate for the western Jamuna sub-basin area.
25
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