{"title":"Series: Hyperspectral Remote Sensing of Vegetation, Second Edition","description":"\u003cp\u003eThe \u003cem\u003eHyperspectral Remote Sensing of Vegetation, Second Edition\u003c\/em\u003e series delves into advanced techniques for analysing plant cover using hyperspectral data. Readers can explore the scientific principles and practical applications that underpin remote sensing technology in monitoring vegetation health, species identification, and environmental change.\u003c\/p\u003e\n\n\u003cp\u003eWith a focus on \u003cstrong\u003eComputing \u0026amp; Technology\u003c\/strong\u003e, this collection offers insights valuable to researchers, environmentalists, and professionals interested in cutting-edge methods for ecological observation. The series balances technical depth with clarity, making complex topics accessible without sacrificing rigour.\u003c\/p\u003e","products":[{"product_id":"biophysical-and-biochemical-characterization-and-plant-species-studies-9781032475868","title":"Biophysical and Biochemical Characterization and Plant Species Studies","description":"\u003cdiv class=\"book-description\"\u003e\n\u003cp\u003eWritten by leading global experts, including pioneers in the field, the four-volume set on \u003cem\u003eHyperspectral Remote Sensing of Vegetation, Second Edition\u003c\/em\u003e, 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.\u003c\/p\u003e\n\n\u003cp\u003eHyperspectral remote sensing or imaging spectroscopy data has been increasingly used in studying and assessing the biophysical and biochemical properties of agricultural crops and natural vegetation. Volume III, \u003cem\u003eBiophysical and Biochemical Characterization and Plant Species Studies\u003c\/em\u003e, 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 modelling, crop biophysical and biochemical property characterisation, and crop moisture assessments. The concluding chapter provides readers with useful guidance on the highlights and essence of Volume III through the editors’ perspective.\u003c\/p\u003e\n\n\u003cp\u003eKey Features of Volume III:\u003c\/p\u003e\n\n\u003cul\u003e\n    \u003cli\u003eCovers recent abilities to better quantify, model, and map plant biophysical, biochemical water, and structural properties.\u003c\/li\u003e\n    \u003cli\u003eDemonstrates characteristic hyperspectral properties through plant diagnostics or throughput phenotyping of plant biophysical, biochemical, water, and structural properties.\u003c\/li\u003e\n    \u003cli\u003eEstablishes plant traits through hyperspectral imaging spectroscopy data as well as its integration with other data, such as LiDAR, using data from various platforms (ground-based, UAVs, and earth-observing satellites).\u003c\/li\u003e\n    \u003cli\u003eStudies photosynthetic efficiency and plant health and stress through hyperspectral narrowband vegetation indices.\u003c\/li\u003e\n    \u003cli\u003eUses hyperspectral data to discriminate plant species and\/or their types as well as their characteristics, such as growth stages.\u003c\/li\u003e\n    \u003cli\u003eCompares studies of plant species of agriculture, forests, and other land use\/land cover as established by hyperspectral narrowband data versus multispectral broadband data.\u003c\/li\u003e\n    \u003cli\u003eDiscusses complete solutions from methods to applications, inventory, and modelling considering various platform (e.g., earth-observing satellites, UAVs, handheld spectroradiometers) from where the data is gathered.\u003c\/li\u003e\n    \u003cli\u003eDwells on specific applications to detect and map invasive species by using hyperspectral data.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e","brand":"Taylor \u0026 Francis","offers":[{"title":"Default Title","offer_id":47605157921004,"sku":"9781032475868","price":111.0,"currency_code":"NZD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0705\/7784\/8556\/files\/9781032475868-biophysical-and-biochemical-characterization-and-plant-species-studies.jpg?v=1778124775"},{"product_id":"fundamentals-sensor-systems-spectral-libraries-and-data-mining-for-vegetation-9781032475882","title":"Fundamentals, Sensor Systems, Spectral Libraries, and Data Mining for Vegetation","description":"\u003cdiv class=\"book-description\"\u003e\n\u003cp\u003eWritten 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.\u003c\/p\u003e\n\n\u003cp\u003eVolume I, \u003ci\u003eFundamentals, Sensor Systems, Spectral Libraries, and Data Mining for Vegetation\u003c\/i\u003e, introduces the fundamentals of hyperspectral or imaging spectroscopy data, including hyperspectral data processes, sensor systems, spectral libraries, and data mining and analysis. It covers both the strengths and limitations of these topics. This book also presents and discusses hyperspectral narrowband data acquired in numerous unique spectral bands over the entire spectrum from various ground-based, airborne, and spaceborne platforms. The concluding chapter provides readers with useful guidance on the highlights and essence of Volume I through the editors’ perspective.\u003c\/p\u003e\n\n\u003cp\u003e\u003cstrong\u003eKey Features of Volume I:\u003c\/strong\u003e\u003c\/p\u003e\n\n\u003cul\u003e\n  \u003cli\u003eProvides the fundamentals of hyperspectral remote sensing used in agricultural crops and vegetation studies.\u003c\/li\u003e\n  \u003cli\u003eDiscusses the latest advances in hyperspectral remote sensing of ecosystems and croplands.\u003c\/li\u003e\n  \u003cli\u003eDevelops online hyperspectral libraries, proximal sensing, and phenotyping for understanding, modelling, mapping, and monitoring crop and vegetation traits.\u003c\/li\u003e\n  \u003cli\u003eImplements reflectance spectroscopy of soils and vegetation.\u003c\/li\u003e\n  \u003cli\u003eEnumerates hyperspectral data mining and data processing methods, approaches, and machine learning algorithms.\u003c\/li\u003e\n  \u003cli\u003eExplores methods and approaches for data mining and overcoming data redundancy.\u003c\/li\u003e\n  \u003cli\u003eHighlights advanced methods for hyperspectral data processing steps by developing or implementing appropriate algorithms and coding the same for processing on a cloud computing platform like the Google Earth Engine.\u003c\/li\u003e\n  \u003cli\u003eIntegrates hyperspectral data with other data, such as LiDAR, in the study of vegetation.\u003c\/li\u003e\n  \u003cli\u003eIncludes the best global expertise on hyperspectral remote sensing of agriculture, crop water use, plant species detection, crop productivity, and water productivity mapping and modelling.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e","brand":"Taylor \u0026 Francis","offers":[{"title":"Default Title","offer_id":47605916467436,"sku":"9781032475882","price":111.0,"currency_code":"NZD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0705\/7784\/8556\/files\/9781032475882-fundamentals-sensor-systems-spectral-libraries-and-data-mining-for-vegetation.jpg?v=1778141626"},{"product_id":"hyperspectral-indices-and-image-classifications-for-agriculture-and-vegetation-9781032475851","title":"Hyperspectral Indices and Image Classifications for Agriculture and Vegetation","description":"\u003cdiv class=\"book-description\"\u003e\n\u003cp\u003eWritten by leading global experts, including pioneers in the field, the four-volume set on \u003cem\u003eHyperspectral Remote Sensing of Vegetation, Second Edition\u003c\/em\u003e, 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.\u003c\/p\u003e\n\n\u003cp\u003eVolume II, \u003cem\u003eHyperspectral Indices and Image Classifications for Agriculture and Vegetation\u003c\/em\u003e, 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. This volume presents and discusses topics such as the non-invasive quantification of foliar pigments, leaf nitrogen concentration of cereal crop, the estimation of nitrogen content in crops and pastures, and forest leaf chlorophyll content, among others. The concluding chapter provides readers with useful guidance on the highlights and essence of Volume II through the editors’ perspective.\u003c\/p\u003e\n\n\u003cp\u003e\u003cstrong\u003eKey Features of Volume II:\u003c\/strong\u003e\u003c\/p\u003e\n\n\u003cul\u003e\n    \u003cli\u003eProvides the fundamentals of hyperspectral narrowband vegetation indices and hyperspectral derivative vegetation indices and their applications in agriculture and vegetation studies.\u003c\/li\u003e\n    \u003cli\u003eDiscusses the latest advances in hyperspectral image classification methods and their applications.\u003c\/li\u003e\n    \u003cli\u003eExplains the massively big hyperspectral sensing data processing on cloud computing architectures.\u003c\/li\u003e\n    \u003cli\u003eHighlights the state-of-the-art methods in the field of hyperspectral narrowband vegetation indices for monitoring agriculture, vegetation, and their properties such as plant water content, nitrogen, chlorophyll, and others at leaf, canopy, field, and landscape scales.\u003c\/li\u003e\n    \u003cli\u003eIncludes best global expertise on hyperspectral remote sensing of agriculture, crop water use, plant species detection, crop productivity and water productivity mapping, and modeling.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e","brand":"Taylor \u0026 Francis","offers":[{"title":"Default Title","offer_id":47606086795500,"sku":"9781032475851","price":111.0,"currency_code":"NZD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0705\/7784\/8556\/files\/9781032475851-hyperspectral-indices-and-image-classifications-for-agriculture-and-vegetation.jpg?v=1778147195"}],"url":"https:\/\/bookhero.co.nz\/collections\/series-hyperspectral-remote-sensing-of-vegetation-second-edition.oembed","provider":"Book Hero","version":"1.0","type":"link"}