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Detection And Attribution Of Drought And Oil Induced Plant Stress Using Hyperspectral Remote Sensing
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Book Synopsis Detection and Attribution of Drought and Oil-induced Plant Stress Using Hyperspectral Remote Sensing by : Patrick Adetokunbo Elujoba
Download or read book Detection and Attribution of Drought and Oil-induced Plant Stress Using Hyperspectral Remote Sensing written by Patrick Adetokunbo Elujoba and published by . This book was released on 2018 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Crop Stress Detection and Classification Using Hyperspectral Remote Sensing by :
Download or read book Crop Stress Detection and Classification Using Hyperspectral Remote Sensing written by and published by . This book was released on 2012 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: Agricultural production has observed many changes in technology over the last 20 years. Producers are able to utilize technologies such as site-specific applicators and remotely sensed data to assist with decision making for best management practices which can improve crop production and provide protection to the environment. It is known that plant stress can interfere with photosynthetic reactions within the plant and/or the physical structure of the plant. Common types of stress associated with agricultural crops include herbicide induced stress, nutrient stress, and drought stress from lack of water. Herbicide induced crop stress is not a new problem. However, with increased acreage being planting in varieties/hybrids that contain herbicide resistant traits, herbicide injury to non-target crops will continue to be problematic for producers. With rapid adoption of herbicide-tolerant cropping systems, it is likely that herbicide induced stress will continue to be a major concern. To date, commercially available herbicide-tolerant varieties/hybrids contain traits which allow herbicides like glyphosate and glufosinate-ammonium to be applied as a broadcast application during the growing season. Both glyphosate and glufosinate-ammonium are broad spectrum herbicides which have activity on a large number of plant species, including major crops like non-transgenic soybean, corn, and cotton. Therefore, it is possible for crop stress from herbicide applications to occur in neighboring fields that contain susceptible crop varieties/hybrids. Nutrient and moisture stress as well as stress caused by herbicide applications can interact to influence yields in agricultural fields. If remotely sensed data can be used to accurately identify specific levels of crop stress, it is possible that producers can use this information to better assist them in crop management to maximize yields and protect their investments. This research was conducted to evaluate classification of specific crop stresses utilizing hyperspectral remote sensing.
Book Synopsis Remote Sensing of Drought by : Brian D. Wardlow
Download or read book Remote Sensing of Drought written by Brian D. Wardlow and published by CRC Press. This book was released on 2012-04-24 with total page 484 pages. Available in PDF, EPUB and Kindle. Book excerpt: Remote Sensing of Drought: Innovative Monitoring Approaches presents emerging remote sensing-based tools and techniques that can be applied to operational drought monitoring and early warning around the world. The first book to focus on remote sensing and drought monitoring, it brings together a wealth of information that has been scattered through
Book Synopsis The Use of Remote Sensing Data for Drought Assessment and Monitoring in Southwest Asia by : Prasad Srinivasa Thenkabail
Download or read book The Use of Remote Sensing Data for Drought Assessment and Monitoring in Southwest Asia written by Prasad Srinivasa Thenkabail and published by IWMI. This book was released on 2004 with total page 34 pages. Available in PDF, EPUB and Kindle. Book excerpt: This report describes the development of the near real-time drought monitoring and reporting system for the region, which currently includes Afghanistan, Pakistan and western parts of India. The system is based on drought-related indices derived from high-resolution remote-sensing data (MODIS). The unique feature of the study is the development of regression relationships between drought-related indices obtained from MODIS and AVHRR data, which have different pixel-resolution and optical characteristics. The goal is to make the system available, via Internet, to all stakeholders in the region.
Book Synopsis A Data-driven Approach for Detecting Stress in Plants Using Hyperspectral Imagery by : Suraj Gampa
Download or read book A Data-driven Approach for Detecting Stress in Plants Using Hyperspectral Imagery written by Suraj Gampa and published by . This book was released on 2019 with total page 65 pages. Available in PDF, EPUB and Kindle. Book excerpt: A phenotype is an observable characteristic of an individual and is a function of its genotype and its growth environment. Individuals with different genotypes are impacted differently by exposure to the same environment. Therefore, phenotypes are often used to understand morphological and physiological changes in plants as a function of genotype and biotic and abiotic stress conditions. Phenotypes that measure the level of stress can help mitigate the adverse impacts on the growth cycle of the plant. Image-based plant phenotyping has the potential for early stress detection by means of computing responsive phenotypes in a non-intrusive manner. A large number of plants grown and imaged under a controlled environment in a high-throughput plant phenotyping (HTPP) system are increasingly becoming accessible to research communities. They can be useful to compute novel phenotypes for early stress detection. In early stages of stress induction, plants manifest responses in terms of physiological changes rather than morphological, making it difficult to detect using visible spectrum cameras which use only three wide spectral bands in the 380nm - 740 nm range. In contrast, hyperspectral imaging can capture a broad range of wavelengths (350nm - 2500nm) with narrow spectral bands (5nm). Hyperspectral imagery (HSI), therefore, provides rich spectral information which can help identify and track even small changes in plant physiology in response to stress. In this research, a data-driven approach has been developed to identify regions in plants that manifest abnormal reflectance patterns after stress induction. Reflectance patterns of age-matched unstressed plants are first characterized. The normal and stressed reflectance patterns are used to train a classifier that can predict if a point in the plant is stressed or not. Stress maps of a plant can be generated from its hyperspectral image and can be used to track the temporal propagation of stress. These stress maps are used to compute novel phenotypes that represent the level of stress in a plant and the stress trajectory over time. The data-driven approach is validated using a dataset of sorghum plants exposed to drought stress in a LemnaTec Scanalyzer 3D HTPP system.
Book Synopsis Remote Sensing Application II by : Tofael Ahamed
Download or read book Remote Sensing Application II written by Tofael Ahamed and published by Springer Nature. This book was released on with total page 475 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Detecting Plant Metabolic Responses Induced by Ground Shock Using Hyperspectral Remote Sensing and Physiological Contact Measurements by :
Download or read book Detecting Plant Metabolic Responses Induced by Ground Shock Using Hyperspectral Remote Sensing and Physiological Contact Measurements written by and published by . This book was released on 1996 with total page 30 pages. Available in PDF, EPUB and Kindle. Book excerpt: A series of field experiments were done to determine if ground shock could have induced physiological responses in plants and if the level of the response could be observed. The observation techniques were remote sensing techniques and direct contact physiological measurements developed by Carter for detecting pre-visual plant stress. The remote sensing technique was similar to that used by Pickles to detect what appeared to be ground shock induced plant stress above the 1993 Non Proliferation Experiment's underground chemical explosion. The experiment was designed to provide direct plant physiological measurements and remote sensing ratio images and from the same plants at the same time. The simultaneous direct and remote sensing measurements were done to establish a ground truth dataset to compare to the results of the hyperspectral remote sensing measurements. In addition, the experiment was designed to include data on what was thought to be the most probable interfering effect, dehydration. The experimental design included investigating the relative magnitude of the shock induced stress effects compared to dehydration effects.
Book Synopsis Hyperspectral Remote Sensing of Vegetation by : Prasad S. Thenkabail
Download or read book Hyperspectral Remote Sensing of Vegetation written by Prasad S. Thenkabail and published by CRC Press. This book was released on 2016-04-19 with total page 766 pages. Available in PDF, EPUB and Kindle. Book excerpt: Hyperspectral narrow-band (or imaging spectroscopy) spectral data are fast emerging as practical solutions in modeling and mapping vegetation. Recent research has demonstrated the advances in and merit of hyperspectral data in a range of applications including quantifying agricultural crops, modeling forest canopy biochemical properties, detecting crop stress and disease, mapping leaf chlorophyll content as it influences crop production, identifying plants affected by contaminants such as arsenic, demonstrating sensitivity to plant nitrogen content, classifying vegetation species and type, characterizing wetlands, and mapping invasive species. The need for significant improvements in quantifying, modeling, and mapping plant chemical, physical, and water properties is more critical than ever before to reduce uncertainties in our understanding of the Earth and to better sustain it. There is also a need for a synthesis of the vast knowledge spread throughout the literature from more than 40 years of research. Hyperspectral Remote Sensing of Vegetation integrates this knowledge, guiding readers to harness the capabilities of the most recent advances in applying hyperspectral remote sensing technology to the study of terrestrial vegetation. Taking a practical approach to a complex subject, the book demonstrates the experience, utility, methods and models used in studying vegetation using hyperspectral data. Written by leading experts, including pioneers in the field, each chapter presents specific applications, reviews existing state-of-the-art knowledge, highlights the advances made, and provides guidance for the appropriate use of hyperspectral data in the study of vegetation as well as its numerous applications, such as crop yield modeling, crop and vegetation biophysical and biochemical property characterization, and crop moisture assessment. This comprehensive book brings together the best global expertise on hyperspectral remote sensing of agriculture, crop water use, plant species detection, vegetation classification, biophysical and biochemical modeling, crop productivity and water productivity mapping, and modeling. It provides the pertinent facts, synthesizing findings so that readers can get the correct picture on issues such as the best wavebands for their practical applications, methods of analysis using whole spectra, hyperspectral vegetation indices targeted to study specific biophysical and biochemical quantities, and methods for detecting parameters such as crop moisture variability, chlorophyll content, and stress levels. A collective "knowledge bank," it guides professionals to adopt the best practices for their own work.
Book Synopsis Advanced Applications in Remote Sensing of Agricultural Crops and Natural Vegetation by : Prasad S. Thenkabail
Download or read book Advanced Applications in Remote Sensing of Agricultural Crops and Natural Vegetation written by Prasad S. Thenkabail and published by CRC Press. This book was released on 2018-12-07 with total page 385 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Book Synopsis Hyperspectral Remote Sensing of Agriculture and Vegetation by : Simone Pascucci
Download or read book Hyperspectral Remote Sensing of Agriculture and Vegetation written by Simone Pascucci and published by MDPI. This book was released on 2021-01-20 with total page 266 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book shows recent and innovative applications of the use of hyperspectral technology for optimal quantification of crop, vegetation, and soil biophysical variables at various spatial scales, which can be an important aspect in agricultural management practices and monitoring. The articles collected inside the book are intended to help researchers and farmers involved in precision agriculture techniques and practices, as well as in plant nutrient prediction, to a higher comprehension of strengths and limitations of the application of hyperspectral imaging to agriculture and vegetation. Hyperspectral remote sensing for studying agriculture and natural vegetation is a challenging research topic that will remain of great interest for different sciences communities in decades.
Book Synopsis Hyperspectral Remote Sensing of Vegetation, Second Edition, Four Volume Set by : Prasad S. Thenkabail
Download or read book Hyperspectral Remote Sensing of Vegetation, Second Edition, Four Volume Set written by Prasad S. Thenkabail and published by CRC Press. This book was released on 2022-07-30 with total page 1637 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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 I, Fundamentals, Sensor Systems, Spectral Libraries, and Data Mining for Vegetation introduces the fundamentals of hyperspectral or imaging spectroscopy data, including hyperspectral data processes, sensor systems, spectral libraries, and data mining and analysis, covering both the strengths and limitations of these topics. Volume II, Hyperspectral Indices and Image Classifications for Agriculture and Vegetation evaluates the performance of hyperspectral narrowband or imaging spectroscopy data with specific emphasis on the uses and applications of hyperspectral narrowband vegetation indices in characterizing, modeling, mapping, and monitoring agricultural crops and vegetation. Volume III, Biophysical and Biochemical Characterization and Plant Species Studies demonstrates the methods that are developed and used to study terrestrial vegetation using hyperspectral data. This volume includes extensive discussions on hyperspectral data processing and how to implement data processing mechanisms for specific biophysical and biochemical applications such as crop yield modeling, crop biophysical and biochemical property characterization, and crop moisture assessments. 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.
Book Synopsis Development of Remote Sensing Techniques for Assessment of Salinity Induced Plant Stresses by :
Download or read book Development of Remote Sensing Techniques for Assessment of Salinity Induced Plant Stresses written by and published by . This book was released on 2008 with total page 446 pages. Available in PDF, EPUB and Kindle. Book excerpt: Salinity has been shown to reduce vegetative growth, crop quality, and yield in agricultural crops. Remote sensing is capable of providing data about large areas. This project was designed to induce salinity stress in a crop, pak choi, and thereafter monitor the response of the crop as expressed by its spectral reflectances. The project was conducted in the National Taiwan University Phytotron, and spectral data was collected using a GER 2600. Yield and soil salinity (ECe) were also measured. After three seasons of data were collected, wavelengths sensitive to salinity were selected. These wavelengths, which are within the spectral response of biochemicals produced by plants as a response to soil salinity, were used to create two indices, the Salinity Stress Index (SSI) and the Normalized Salinity Stress Index (NSSI). After creating the indices tests were conducted to determine the efficacy of these indices in detecting salinity and drought stresses as compared to existing indices (SRVI and NDVI). This project induced salinity and drought stress in a crop, pak choi, and thereafter monitored the response of the crop as expressed by its spectral reflectances. The SSI and NSSI correlated well to both ECe and marketable yield. Additionally the SSI and NSSI were found to provide statistical differences between salinity stressed treatments and the control treatment. Drought stress was not detected well by any of the indices reviewed although the SSI and NSSI indices tended to increase with drought stress and decrease with salinity stress. As a final test, specific ion toxicities of sodium and chloride were tested against the developed indices (SSI and NSSI) and existing indices (NDVI, SRVI, and NDWI). There were no differences in SSI and NSSI responses to specific ion concentration in the high salinity treatments. These results indicated that the SSI and NSSI are not sensitive to the specific ion concentration in irrigation water. However, the SSI and NSSI were higher for the sodium water than the choride water in the low salinity treatments. It is likely that this difference was caused by the fact that the high SAR water decreased infiltration and caused water stress.
Book Synopsis Non-contacting High Throughput Sensing of Drought Stressed Plants by : Salah Elsayed
Download or read book Non-contacting High Throughput Sensing of Drought Stressed Plants written by Salah Elsayed and published by LAP Lambert Academic Publishing. This book was released on 2013 with total page 160 pages. Available in PDF, EPUB and Kindle. Book excerpt: The early detection of these stress factors with non-destructive methods is crucial because it could help to identify stress status at larger temporal and spatial scales before any damage is clearly visible. in this regard, precision agriculture and precision phenotyping technologies for crop management have the potential to provide more information for making more informed management decisions on a canopy scale in real time. Time-consuming destructive methods could be replaced by proximal remote sensing methods using spectral reflectance and laser induced chlorophyll fluorescence measurements. These technologies may open an avenue for fast, high-throughput assessments of water status in plants, which would simultaneously be useful for screening large numbers of plants (e.g., in breeding) as well as being equally important for management related actions
Download or read book Remote Sensing of Drought written by and published by . This book was released on 2018-05 with total page 367 pages. Available in PDF, EPUB and Kindle. Book excerpt: Droughts and floods are water-related natural disasters which distress a broad range of ecological factors and activities related to agriculture, vegetation, human and wild life and local economies. Drought is the solo imperative weather-related natural disaster often aggravated by human action, since it distresses very large areas for months and years and thus has a thoughtful impact on regional food production, life expectancy for entire populations and economic performance of large regions or several countries. Traditional methods of drought assessment and monitoring rely on rainfall data, which are limited in the region, often inaccurate and, most importantly, difficult to obtain in near-real time. In contrast, the satellite-sensor data are consistently available and can be used to detect the onset of drought, its duration and magnitude. Even crop yields can be predicted 5 to 13 weeks prior to harvests using remote-sensing techniques. The need for proper quantification of drought impacts and monitoring and reporting of drought development is of critical importance in politically, economically and environmentally sensitive countries. Remote Sensing of Drought presents cutting-edge remote sensing tools and techniques that can be applied worldwide in order to the relevance of drought to natural hazards and climate change. To assess historical droughts and to provide drought monitoring, various indices have been proposed for different purposes and using different datasets. Despite the display of these indices, when one focuses on the processes that caused droughts, a set of consistent indices may adequately describe the different aspects of the droughts. Remote sensing techniques make it possible to obtain and distribute information rapidly over large areas by means of sensors operating in several spectral bands, mounted on aircraft or satellites. Several users such as top level policy makers at the national and international organizations, researchers, middle level policy makers at the state, province and local levels consultants, relief agencies and local producers including farmers, suppliers, traders and water managers are interested in reliable and accurate drought and flood information for effective management. This novel edition is packed with innovative remote sensing approaches to provide you with new perspectives on large-area drought monitoring and early warning.
Book Synopsis Detection of Stress Factors in Crop and Weed Species Using Hyperspectral Remote Sensing Reflectance by : William Brien Henry
Download or read book Detection of Stress Factors in Crop and Weed Species Using Hyperspectral Remote Sensing Reflectance written by William Brien Henry and published by . This book was released on 2002 with total page 270 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Determination and Monitoring of Vegetation Stress Using Hyperspectral Remote Sensing by : Yahaya Sani
Download or read book Determination and Monitoring of Vegetation Stress Using Hyperspectral Remote Sensing written by Yahaya Sani and published by . This book was released on 2013 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Hyperspectral Remote Sensing for Monitoring Species-specific Drought Impacts in Southern California by : Austin Reece Coates
Download or read book Hyperspectral Remote Sensing for Monitoring Species-specific Drought Impacts in Southern California written by Austin Reece Coates and published by . This book was released on 2015 with total page 40 pages. Available in PDF, EPUB and Kindle. Book excerpt:
