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Author: Haoyu Niu
Publisher: Springer Nature
ISBN: 3031149378
Category : Technology & Engineering
Languages : en
Pages : 176
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Book Description
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.
Author: Haoyu Niu
Publisher: Springer Nature
ISBN: 3031149378
Category : Technology & Engineering
Languages : en
Pages : 176
Get Book Here
Book Description
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.
Author: Haoyu Niu
Publisher: Springer Nature
ISBN: 3031526457
Category :
Languages : en
Pages : 243
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Book Description
Author: Pradeep Wagle
Publisher: MDPI
ISBN: 3039216023
Category : Technology & Engineering
Languages : en
Pages : 240
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Book Description
Evapotranspiration (ET) is a critical component of the water and energy balances, and the number of remote sensing-based ET products and estimation methods has increased in recent years. Various aspects of remote sensing of ET are reported in the 11 papers published in this book. The major research areas covered by this book include inter-comparison and performance evaluation of widely used one- and two-source energy balance models, a new dual-source model (Soil Plant Atmosphere and Remote Sensing Evapotranspiration, SPARSE), and a process-based model (ETMonitor); assessment of multi-source (e.g., remote sensing, reanalysis, and land surface model) ET products; development or improvement of data fusion frameworks to predict continuous daily ET at a high spatial resolution (field-scale or 30 m) by fusing the advanced spaceborne thermal emission reflectance radiometer (ASTER), the moderate resolution imaging spectroradiometer (MODIS), and Landsat data; and investigating uncertainties in ET estimates using an ET ensemble composed of several land surface models and diagnostic datasets. The effects of the differences between ET products on water resources and ecosystem management were also investigated. More accurate ET estimates and improved understanding of remotely sensed ET products are crucial for maximizing crop productivity while minimizing water losses and management costs.
Author: Francisco Javier Mesas Carrascosa
Publisher: MDPI
ISBN: 3036505261
Category : Technology & Engineering
Languages : en
Pages : 174
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Book Description
The advances in unmanned aerial vehicle (UAV) platforms and onboard sensors in the past few years have greatly increased our ability to monitor and map crops. The ability to register images at ultrahigh spatial resolution at any moment has made remote sensing techniques increasingly useful in crop management. These technologies have revolutionized the way in which remote sensing is applied in precision agriculture, allowing for decision-making in a matter of days instead of weeks. However, it is still necessary to continue research to improve and maximize the potential of UAV remote sensing in agriculture. This Special Issue of Remote Sensing includes different applications of UAV remote sensing for crop management, covering RGB, multispectral, hyperspectral and light detection and ranging (LiDAR) sensor applications aboard UAVs. The papers reveal innovative techniques involving image analysis and cloud points. However, it should be emphasized that this Special Issue is a small sample of UAV applications in agriculture and that there is much more to investigate.
Author: Yuting Yang
Publisher: Springer
ISBN: 3662461730
Category : Science
Languages : en
Pages : 163
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Book Description
The focus of this work is the development of models to estimate evapotranspiration (ET), investigating the partitioning between soil evaporation and plant transpiration at field and regional scales, and calculating ET over heterogeneous vegetated surfaces. Different algorithms with varying complexities as well as spatial and temporal resolutions are developed to estimate evapotranspiration from different data inputs. The author proposes a novel approach to estimate ET from remote sensing by exploiting the linkage between water and carbon cycles. At the field scale, a hybrid dual source model (H-D model) is proposed. It is verified with field observations over four different ecosystems and coupled with a soil water and heat transfer model, to simulate water and heat transfer in the soil-plant-atmosphere continuum. At the regional scale, a hybrid dual source scheme and trapezoid framework based ET model (HTEM), using remote sensing images is developed. This model is verified with data from the USA and China and the impact of agricultural water-saving on ET of different land use types is analyzed, in these chapters. The author discusses the potential of using a remote sensing ET model in the real management of water resources in a large irrigation district. This work would be of particular interest to any hydrologist or micro-meteorologist who works on ET estimation and it will also appeal to the ecologist who works on the coupled water and carbon cycles. Land evapotranspiration is an important research topic in hydrology, meteorology, ecology and agricultural sciences. Dr. Yuting Yang works at the CSIRO Land and Water, Canberra, Australia.
Author: Ayse Irmak
Publisher: BoD – Books on Demand
ISBN: 9533078081
Category : Science
Languages : en
Pages : 530
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Book Description
This edition of Evapotranspiration - Remote Sensing and Modeling contains 23 chapters related to the modeling and simulation of evapotranspiration (ET) and remote sensing-based energy balance determination of ET. These areas are at the forefront of technologies that quantify the highly spatial ET from the Earth's surface. The topics describe mechanics of ET simulation from partially vegetated surfaces and stomatal conductance behavior of natural and agricultural ecosystems. Estimation methods that use weather based methods, soil water balance, the Complementary Relationship, the Hargreaves and other temperature-radiation based methods, and Fuzzy-Probabilistic calculations are described. A critical review describes methods used in hydrological models. Applications describe ET patterns in alpine catchments, under water shortage, for irrigated systems, under climate change, and for grasslands and pastures. Remote sensing based approaches include Landsat and MODIS satellite-based energy balance, and the common process models SEBAL, METRIC and S-SEBS. Recommended guidelines for applying operational satellite-based energy balance models and for overcoming common challenges are made.
Author: Salim Lamine
Publisher: Elsevier
ISBN: 0323914640
Category : Technology & Engineering
Languages : en
Pages : 555
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Book Description
Remote Sensing in Precision Agriculture: Transforming Scientific Advancement into Innovation compiles the latest applications of remote sensing in agriculture using spaceborne, airborne and drones’ geospatial data. The book presents case studies, new algorithms and the latest methods surrounding crop sown area estimation, determining crop health status, assessment of vegetation dynamics, crop diseases identification, crop yield estimation, soil properties, drone image analysis for crop damage assessment, and other issues in precision agriculture. This book is ideal for those seeking to explore and implement remote sensing in an effective and efficient manner with its compendium of scientifically and technologically sound information. Presents a well-integrated collection of chapters, with quality, consistency and continuity Provides the latest RS techniques in Precision Agriculture that are addressed by leading experts Includes detailed, yet geographically global case studies that can be easily understood, reproduced or implemented Covers geospatial data, with codes available through shared links
Author: Simona Consoli
Publisher:
ISBN: 9789533075129
Category :
Languages : en
Pages :
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Book Description
Author: Ana de Castro Megías
Publisher: Mdpi AG
ISBN: 9783036521923
Category : Science
Languages : en
Pages : 466
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Book Description
This book compiles a set of original and innovative papers included in the Special Issue on UAVs for vegetation monitoring, which proves the wide scope of UAVs in very diverse vegetation applications, both in agricultural and forestry scenarios, ranging from the characterization of relevant vegetation features to the detection of plant or crop stressors. New methods and techniques are developed and applied to diverse vegetation scenarios to meet the main challenge of sustainability.
Author: Charles Scarborough
Publisher:
ISBN:
Category :
Languages : en
Pages : 149
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Book Description
Evapotranspiration (ET) is the combination of transpiration from plants and evaporation from land surface sources of water. Accurate accounting of actual crop ET is critical in agricultural water management, especially in areas with intensive irrigation. Mapping Evapotranspiration at High Resolution with Internalized Calibration (METRIC) is a useful tool to spatially estimate actual evapotranspiration (ETa) using satellite imagery. Although METRIC has been a documented success in estimating ETa in regions around the world, especially the semi-arid regions of the western United States, it has not been applied in the Mid-Atlantic region of the United States or examined under different irrigation regimes like subsurface drip (SDI) and central pivot irrigation (CPI). This study compares cumulative ETa from corn and soybean crops under CPI and SDI crop fields and provides cumulative ETa images of the fields in southern Delaware. METRIC modeled land surface energy balance data and daily ETa (ETMETRIC) were compared to in-situ observations of incoming solar radiation (RS6́3), surface temperature (Ts), net radiation (R℗Ơn), soil heat flux (G), sensible heat flux (H), latent heat flux (LE), Eddy Covariance ETa (ETEC), and atmometer ETa (ETatm). Turbulent fluxes (H and LE) were adjusted to force energy balance closure using the Bowen ratio method. In-situ data measurements were fixed to a Delaware Environmental Observing System (DEOS) station bordering the SDI field in Warrington Farm, a University of Delaware owned irrigation research farm. METRIC analysis and validation were performed over various dates within the 2015, 2016, and 2017 growing seasons. Modeled values of RS6́3, T℗Ơs, G, and LE agreed reasonably well with observations, while Rn and H yielded large biases. Biases in H are in part due to the internal design of METRIC of internal calibration, which absorb all other energy balance biases to yield accurate values of ETa. Daily time series of ETMETRIC from the 2016 study period agreed well with ETEC, indicated by moderate correlation (R2 = 0.63) and low RMSE (0.75 mm day-1). Results from the 2017 study period were unfavorable (R2 = 0.33, RMSE of 1.13 mm day-1). Less than optimal Landsat coverage over the study area contributed to deviations from observations. Cumulative ETMETRIC was 1.5% and 2.9% greater than ETEC for the 2016 and 2017 study periods, respectively. METRIC analysis was able to detect differences in cumulative ETa℗Ơ of corn and soybean under the CPI system and SDI system. Results indicate that METRIC is a useful tool to create spatial estimates of ETa in an agriculturally intensive area of the mid-Atlantic region.
