Remote Sensing for Crop Plants: Modeling Methods and Applications - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Remote Sensing for Crop Plants: Modeling Methods and Applications write by Callen Elliott. This book was released on 2023-09-26. Remote Sensing for Crop Plants: Modeling Methods and Applications available in PDF, EPUB and Kindle. Remote sensing is the process of detecting and monitoring the physical characteristics of an area by measuring its reflected and emitted radiation at a distance from a satellite, drone or aircraft. It is used in several fields including photography, geology, and surveying. Remote sensing plays an instrumental role in the field of crop production and management. It is used extensively for forecasting crop production, assessing crop damage and crop progress, identifying pests and disease infestation, soil mapping, monitoring and managing irrigation, and collecting past and current weather data. Crop intensification is another important application of remote sensing that involves collecting important data related to crops including crop rotation needs, cropping pattern, and crop diversity over a given piece of land. The remote sensing data can also be used in crop models, which show the relationships among plant, water and soil. Such models help reveal water stress and its effects on crop growth and development. This book is a detailed explanation of the various applications of remote sensing in crop plants. It is a vital tool for all researching or studying the role of remote sensing in crop production as it gives incredible insights into emerging modeling methods and applications.
Remote Sensing Applications for Agriculture and Crop Modelling
Remote Sensing Applications for Agriculture and Crop Modelling - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Remote Sensing Applications for Agriculture and Crop Modelling write by Piero Toscano. This book was released on 2020-02-13. Remote Sensing Applications for Agriculture and Crop Modelling available in PDF, EPUB and Kindle. Crop models and remote sensing techniques have been combined and applied in agriculture and crop estimation on local and regional scales, or worldwide, based on the simultaneous development of crop models and remote sensing. The literature shows that many new remote sensing sensors and valuable methods have been developed for the retrieval of canopy state variables and soil properties from remote sensing data for assimilating the retrieved variables into crop models. At the same time, remote sensing has been used in a staggering number of applications for agriculture. This book sets the context for remote sensing and modelling for agricultural systems as a mean to minimize the environmental impact, while increasing production and productivity. The eighteen papers published in this Special Issue, although not representative of all the work carried out in the field of Remote Sensing for agriculture and crop modeling, provide insight into the diversity and the complexity of developments of RS applications in agriculture. Five thematic focuses have emerged from the published papers: yield estimation, land cover mapping, soil nutrient balance, time-specific management zone delineation and the use of UAV as agricultural aerial sprayers. All contributions exploited the use of remote sensing data from different platforms (UAV, Sentinel, Landsat, QuickBird, CBERS, MODIS, WorldView), their assimilation into crop models (DSSAT, AQUACROP, EPIC, DELPHI) or on the synergy of Remote Sensing and modeling, applied to cardamom, wheat, tomato, sorghum, rice, sugarcane and olive. The intended audience is researchers and postgraduate students, as well as those outside academia in policy and practice.
UAS-Remote Sensing Methods for Mapping, Monitoring and Modeling Crops
UAS-Remote Sensing Methods for Mapping, Monitoring and Modeling Crops - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook UAS-Remote Sensing Methods for Mapping, Monitoring and Modeling Crops write by Francisco Javier Mesas Carrascosa. This book was released on 2021-04-22. UAS-Remote Sensing Methods for Mapping, Monitoring and Modeling Crops available in PDF, EPUB and Kindle. 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.
Advanced Applications in Remote Sensing of Agricultural Crops and Natural Vegetation
Advanced Applications in Remote Sensing of Agricultural Crops and Natural Vegetation - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Advanced Applications in Remote Sensing of Agricultural Crops and Natural Vegetation write by Prasad S. Thenkabail. This book was released on 2018-12-07. Advanced Applications in Remote Sensing of Agricultural Crops and Natural Vegetation available in PDF, EPUB and Kindle. Written by leading global experts, including pioneers in the field, the four-volume set on Hyperspectral Remote Sensing of Vegetation, Second Edition, reviews existing state-of-the-art knowledge, highlights advances made in different areas, and provides guidance for the appropriate use of hyperspectral data in the study and management of agricultural crops and natural vegetation. Volume IV, Advanced Applications in Remote Sensing of Agricultural Crops and Natural Vegetation discusses the use of hyperspectral or imaging spectroscopy data in numerous specific and advanced applications, such as forest management, precision farming, managing invasive species, and local to global land cover change detection. It emphasizes the importance of hyperspectral remote sensing tools for studying vegetation processes and functions as well as the appropriate use of hyperspectral data for vegetation management practices. The concluding chapter provides readers with useful guidance on the highlights and essence of Volume IV through the editors’ perspective. Key Features of Volume IV: Guides readers to harness the capabilities of the most recent advances in applying hyperspectral remote sensing technology to the study of terrestrial vegetation. Includes specific applications on agriculture, crop management practices, study of crop stress and diseases, crop characteristics based on inputs (e.g., nitrogen, irrigation), study of vegetation impacted by heavy metals, gross and net primary productivity studies, light use efficiency studies, crop water use and actual evapotranspiration studies, phenology monitoring, land use and land cover studies, global change studies, plant species detection, wetland and forest characterization and mapping, crop productivity and crop water productivity mapping, and modeling. Encompasses hyperspectral or imaging spectroscopy data in narrow wavebands used across visible, red-edge, near-infrared, far-infrared, shortwave infrared, and thermal portions of the spectrum. Explains the implementation of hyperspectral remote sensing data processing mechanisms in a standard, fast, and efficient manner for their applications. Discusses cloud computing to overcome hyperspectral remote sensing massive big data challenges. Provides hyperspectral analysis of rocky surfaces on the earth and other planetary systems.
Remote Sensing Applications for Agriculture and Crop Modelling
Remote Sensing Applications for Agriculture and Crop Modelling - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Remote Sensing Applications for Agriculture and Crop Modelling write by Piero Toscano. This book was released on 2020. Remote Sensing Applications for Agriculture and Crop Modelling available in PDF, EPUB and Kindle. Crop models and remote sensing techniques have been combined and applied in agriculture and crop estimation on local and regional scales, or worldwide, based on the simultaneous development of crop models and remote sensing. The literature shows that many new remote sensing sensors and valuable methods have been developed for the retrieval of canopy state variables and soil properties from remote sensing data for assimilating the retrieved variables into crop models. At the same time, remote sensing has been used in a staggering number of applications for agriculture. This book sets the context for remote sensing and modelling for agricultural systems as a mean to minimize the environmental impact, while increasing production and productivity. The eighteen papers published in this Special Issue, although not representative of all the work carried out in the field of Remote Sensing for agriculture and crop modeling.
