Results 251 to 260 of about 432,356 (303)

Quantifying plant dispersal: New methods from multiple disciplines

Applications in Plant Sciences, EarlyView.
Lauren L. Sullivan, Sally M. Chambers, Irene Cobo‐Simón, Noelle G. Beckman   +3 more
wiley   +1 more source

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Predicting poverty with vegetation index

Applied Economic Perspectives and Policy, 2021
AbstractAccurate and timely predictions of the poverty status of communities in developing countries are critical to policymakers. Previous work has applied convolutional neural networks (CNNs) to high‐resolution satellite imagery to perform community‐level poverty prediction. Although promising, such imagery has limitations in predicting poverty among
Binh Tang, Yanyan Liu, David S. Matteson
openaire   +1 more source

Multifrequency microwave vegetation indexes for estimating vegetation biomass

2015 IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 2015
The polarization capabilities in estimating vegetation biomass on both global and local scales by using passive and active microwave satellite data (AMSR-E/2, ENVISAT and COSMO-SkyMed) were investigated. Two algorithms that are based on Artificial Neural Networks (ANN) and are able to ingest data from different frequency channels have been implemented.
Santi E, Paloscia S, Pampaloni P
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Monitoring vegetation dynamics using the universal normalized vegetation index (UNVI): An optimized vegetation index-VIUPD

Remote Sensing Letters, 2019
This paper propose a universal normalized vegetation index (UNVI), which is an improved vegetation index (VI) based on the universal pattern decomposition method (UPDM), termed VIUPD. We also derive new matrices to facilitate convenient calculation of the UNVI based on data from the MODIS and Landsat-TM, ETM, OLI satellite sensors.
Lifu Zhang, Na Qiao, Muhammad Hasan Ali Baig, Changping Huang, Xin Lv, Xuejian Sun, Ze Zhang   +6 more
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Monitoring vegetation water content by using optical vegetation index and microwave vegetation index: Field experiments and applications

2011 IEEE International Geoscience and Remote Sensing Symposium, 2011
Information about vegetation status has widespread utility in agriculture, forestry, hydrology, and land-atmosphere interaction study. This paper presents an attempt to monitor the vegetation water content (VWC) by merging visible/infrared remote sensing and microwave remote sensing.
Hui Lu, Toshio Koike, Hiroyuki Tsutsui, Hedeyuki Fujii   +3 more
openaire   +1 more source

Vegetation Index

2017
This is the survey for finding vegetation, deforestation of earth images from various related papers from different authors. This survey deals with remote sensing and normalized difference vegetation index with various techniques. We survey almost 100 theoretical and empirical contributions in the current decade related to image processing, NDVI ...
Suresh Kumar Nagarajan, Arun Kumar Sangaiah   +1 more
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Comparative analysis of the hyperspectral vegetatation index and radar vegetation index: A novel fusion vegetation index

2015 7th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS), 2015
The hyperspectral vegetation index (HVI) has shown promise in vegetation fields, but its relationship to the radar vegetation index (RVI) is not known in the context of various land covers. This work presents a comparative analysis of the HVI data derived from the AISA sensor and RVI values originating from the RADARSAT-2 quad-polarimetric synthetic ...
Yong-Hyun Kim, Jae-Hong Oh, Jae-Wan Choi, Yong-Il Kim   +3 more
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Vegetation index response to leaf area index and fractional vegetated area over cotton

IGARSS 2000. IEEE 2000 International Geoscience and Remote Sensing Symposium. Taking the Pulse of the Planet: The Role of Remote Sensing in Managing the Environment. Proceedings (Cat. No.00CH37120), 2002
In an agricultural setting vegetation indices should accurately track the state of crop growth under conditions in which the radiometer field of view includes both active vegetative, senesced, and non-vegetative components. Ideally, they should also do so regardless of variation in viewing and background conditions.
S.A. Mauget, D.R. Upchurch
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Transformed difference vegetation index (TDVI) for vegetation cover mapping

IEEE International Geoscience and Remote Sensing Symposium, 2003
In this study, we present a new vegetation index, the TDVI: transformed difference vegetation index. This index shows the same sensitivity as the soil adjusted vegetation index (SAVI) to the optical proprieties of bare soil subjacent to the cover. It does not saturate like NDVI and SAVI and it shows an excellent linearity as a function of the rate of ...
A. Bannari, H. Asalhi, P.M. Teillet
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Microwave vegetation index from SMOS

2012 IEEE International Geoscience and Remote Sensing Symposium, 2012
Monitoring global vegetation can be of importance in understanding land surface processes and their interactions with the atmosphere, biogeochemical cycle, and primary productivity. Previous research has shown that vegetation indices have become essential tools in this field.
Jiancheng Shi, Yunqing Li
openaire   +1 more source