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Towards Tree-level Evapotranspiration Estimation with Small UAVs in Precision Agriculture (Hardcover, 1st ed. 2022) Loot Price: R3,506
Discovery Miles 35 060
Towards Tree-level Evapotranspiration Estimation with Small UAVs in Precision Agriculture (Hardcover, 1st ed. 2022): Haoyu Niu,...

Towards Tree-level Evapotranspiration Estimation with Small UAVs in Precision Agriculture (Hardcover, 1st ed. 2022)

Haoyu Niu, Yangquan Chen

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Loot Price R3,506 Discovery Miles 35 060 | Repayment Terms: R329 pm x 12*

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Estimating evapotranspiration (ET) has been one of the most critical research areas in agriculture because of water scarcity, the growing population, and climate change. The accurate estimation and mapping of ET are necessary for crop water management. Traditionally, researchers use water balance, soil moisture, weighing lysimeters, or an energy balance approach, such as Bowen ratio or eddy covariance towers to estimate ET. However, these ET methods are point-specific or area-weighted measurements and cannot be extended to a large scale. On the other hand, while remote sensing is able to provide spatially distributed measurements, the spatial resolution of multispectral satellite images is often not enough for crops with clumped canopy structures, such as trees and vines. Unmanned aerial vehicles (UAVs) can mitigate these spatial and temporal limitations. Lightweight cameras and sensors can be mounted on the UAVs and take high-resolution images. Unlike satellite imagery, the spatial resolution of the UAV images can be at the centimeter-level. UAVs can also fly on-demand, which provides high temporal imagery. This book examines the different UAV-based approaches of ET estimation. Models and algorithms, such as mapping evapotranspiration at high resolution with internalized calibration (METRIC), the two-source energy balance (TSEB) model, and machine learning (ML) are discussed. It also covers the challenges and opportunities for UAVs in ET estimation, with the final chapters devoted to new ET estimation methods and their potential applications for future research.

General

Imprint: Springer International Publishing AG
Country of origin: Switzerland
Release date: November 2022
First published: 2022
Authors: Haoyu Niu • Yangquan Chen
Dimensions: 235 x 155mm (L x W)
Format: Hardcover
Pages: 156
Edition: 1st ed. 2022
ISBN-13: 978-3-03-114936-8
Categories: Books > Earth & environment > The environment > Management of land & natural resources
Books > Earth & environment > Geography > Cartography, geodesy & geographic information systems (GIS) > Geographical information systems (GIS)
Books > Earth & environment > Geography > Cartography, geodesy & geographic information systems (GIS) > Remote sensing
Books > Professional & Technical > Transport technology > Aerospace & aviation technology > General
Books > Professional & Technical > Agriculture & farming > Crop husbandry > General
LSN: 3-03-114936-X
Barcode: 9783031149368

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