Results 21 to 30 of about 7,082,475 (293)

Detection of Aquatic Plants Using Multispectral UAV Imagery and Vegetation Index

open access: yesRemote Sensing, 2020
In this study, aquatic plants in a small reservoir were detected using multispectral UAV (Unmanned Aerial Vehicle) imagery and various vegetation indices.
Bonggeun Song, Kyunghun Park
doaj   +1 more source

Using UAV to Identify the Optimal Vegetation Index for Yield Prediction of Oil Seed Rape (Brassica napus L.) at the Flowering Stage

open access: yesRemote Sensing, 2022
Suitability of the vegetation indices of normalized difference vegetation index (NDVI), blue normalized difference vegetation index (BNDVI), and normalized difference yellowness index (NDYI) obtained by means of UAV at the flowering stage of oil seed ...
Vojtěch Lukas   +7 more
doaj   +1 more source

Vegetation NDVI Linked to Temperature and Precipitation in the Upper Catchments of Yellow River [PDF]

open access: yes, 2012
Vegetation in the upper catchment of Yellow River is critical for the ecological stability of the whole watershed. The dominant vegetation cover types in this region are grassland and forest, which can strongly influence the eco-environmental status of ...
Ouyang, W.   +6 more
core   +1 more source

BRAZILIAN MIDWEST NATIVE VEGETATION MAPPING BASED ON GOOGLE EARTH ENGINE [PDF]

open access: yesThe International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2020
Google Earth Engine (GEE) platform is an online tool, which generates fast solutions in terms of image classification and does not require high performance computers locally.
N. V. Estrabis   +6 more
doaj   +1 more source

Genetically modified Cotton species detection by LISS-III satellite data [PDF]

open access: yes, 2008
It is possible to infer the genetically modified species by using remotely sensed data. Using ERDAS software the algorithm of BT (Bacillus thuringiensis) Cotton in Punjab, India was developed successfully.
Chander Kumar Singh   +11 more
core   +1 more source

Change Detection of Vegetation Cover by Ndvi Technique Using Geographic Information Systems (Gis) and Remote Sensing Technology in the Agricultural Region of Al_Wafra, Southern Part of Kuwait [PDF]

open access: yesInternational Journal of Advanced Humanities Research, 2023
This study aims to calculate the change detection method used NDVI in vegetation cover of agricultural crops in the Al-Wafra agricultural area using the main index, NDVI - Normalized Difference Vegetation Index. This index was used to measure the area of
Intessar Shalaan
doaj   +1 more source

Why Normalized Difference Vegetation Index (NDVI)? [PDF]

open access: yes, 2021
Plants play a very important role in ecological systems -- they transform CO2 into oxygen. It is therefore very important to be able to estimate the overall amount of live green vegetation in a given area.
Phuong, Nguyen Hoang   +3 more
core   +1 more source

Analysis of vegetation recovery surrounding a restored wetland using the normalized difference infrared index (NDII) and normalized difference vegetation index (NDVI) [PDF]

open access: yesInternational Journal of Remote Sensing, 2018
Watershed restoration efforts seek to rejuvenate vegetation, biological diversity, and land productivity at Cienega San Bernardino, an important wetland in southeastern Arizona and northern Sonora,...
Natalie R. Wilson, Laura M. Norman
openaire   +1 more source

Response of the Normalized Difference Vegetation Index (Ndvi) to Snow Cover Changes on the Qinghai-Tibet Plateau

open access: yesRemote Sensing, 2023
The eco-hydrological process related to vegetation on the Qinghai–Tibet Plateau is special, and the impact of snow cover on the growth of vegetation is unique and important. In this study, we analyzed the multi-year variations in the normalized difference vegetation index (NDVI) and snow cover on the Qinghai–Tibet Plateau from spatial and temporal ...
Zhou, Yuantao   +3 more
openaire   +2 more sources

Genetically modified Cotton species detection by LISS-III satellite data [PDF]

open access: yes, 2011
It is possible to infer the genetically modified species by using remotely sensed data. Using ERDAS software the algorithm of BT (Bacillus thuringiensis) Cotton in Punjab, India was developed successfully.
Bindu Kumari   +14 more
core   +1 more source

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