UAV‐derived imagery for vegetation structure estimation in rangelands: validation and application
Abstract The purpose of this study is to develop an unmanned aerial vehicle (UAV)‐based remote sensing method that can estimate vegetation indicators in arid and semiarid rangelands. This method was used to quantify six rangeland indicators (canopy size, bare soil gap size, plant height, scaled heig...
Enregistré dans:
Auteurs principaux: | Junzhe Zhang, Gregory S. Okin, Bo Zhou, Jason W. Karl |
---|---|
Format: | article |
Langue: | EN |
Publié: |
Wiley
2021
|
Sujets: | |
Accès en ligne: | https://doaj.org/article/eceffad7a78842d9bdebac980a23efa2 |
Tags: |
Ajouter un tag
Pas de tags, Soyez le premier à ajouter un tag!
|
Documents similaires
-
Seasonality and Characterization Mapping of Restored Tidal Marsh by NDVI Imageries Coupling UAVs and Multispectral Camera
par: William Nardin, et autres
Publié: (2021) -
Modeling the Relationships between the Height and Spectrum of Submerged Tufa Barrage Using UAV-Derived Geometric Bathymetry and Digital Orthoimages
par: Jinchen He, et autres
Publié: (2021) -
Development and Testing of a UAV Laser Scanner and Multispectral Camera System for Eco-Geomorphic Applications
par: Christopher Tomsett, et autres
Publié: (2021) -
Quick Detection of Field-Scale Soil Comprehensive Attributes via the Integration of UAV and Sentinel-2B Remote Sensing Data
par: Wanxue Zhu, et autres
Publié: (2021) -
Using a small, consumer-grade drone to identify and count marine megafauna in shallow habitats
par: Hensel,Enie, et autres
Publié: (2018)