Remote sensing application climate (19 résultats)

Etat : New.

Etat : New. In English.

Etat : New. In English.

Etat : New.

Taschenbuch. Etat : Neu. Remote Sensing Application II | A Climate Change Perspective in Agriculture | Tofael Ahamed | Taschenbuch | New Frontiers in Regional Science: Asian Perspectives | xxv | Englisch | 2025 | Springer | EAN 9789819711901 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu. …

Etat : As New. Unread book in perfect condition.

Buch. Etat : Neu. Druck auf Anfrage Neuware - Printed after ordering - This book focuses solely on the issues of agricultural productivity analysis with advanced modeling approaches bringing solutions to food-insecure regions of the world, especially in south and southeast Asia and in Africa. Advanced modeling tools and their use in regional planning provide an outstanding opportunity to help face the challenges of climate change. The sudden effect of flash floods, drought, salinity, and sea water rises causing saltwater intrusions and its impact on agricultural production are some of the disastrous results of climate change.In this edited volume, information on climate-induced impacts for flooding, flash floods, and drought impact on agricultural crops is provided to address possible solutions for food security in south Asia, southeast Asia, and some regions of Africa. Leading-edge research methodology is presented as it relates to remote sensing applications for regional science and allied fields. In regional policy planning, agriculture andforestry play key roles in food security along with environmental conservation and depend on geo-spatial variability. Satellite remote sensing and geographical information systems have an immense potential to encompass all these factors and to catalogue the regional variability of climate change and climate economics. In the satellite remote sensing domain, advanced modeling tools, deep learning applications, and cloud-based earth engines significantly increase the flexibility of decision making and its application for regional perspectives. The result can increase agricultural and forest productivity and ensure its resilience and sustainability.The book's chapters introduce modeling techniques such as machine learning and fuzzy expert system using satellite remote sensing datasets based on cloud application. These methods assist regional planners to increase crop production, land use, and detection of changes in land cover in order to better understand their vulnerability toclimate-related disaster. Furthermore, remote sensing and in-depth GIS analysis are integrated with machine learning to address natural uncertainties such as flash floods, droughts, and cyclones so that emergency responses for agricultural production management can be adopted more effectively. …

Etat : New. 2024th edition NO-PA16APR2015-KAP.

Hardcover. Etat : Brand New. 486 pages. 9.25x6.10x9.21 inches. In Stock.

HRD. Etat : New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

HRD. Etat : New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

Etat : New. Print on Demand.

Etat : New. Print on Demand.

Etat : New. PRINT ON DEMAND.

Buch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - This Reprint brings together innovative research on the use of remote sensing technology to address the regional impacts of climate change, emphasizing sustainable development. Climate change poses one of the greatest challenges of our era, driving changes in weather patterns, biodiversity, ecosystem health, and resource availability. This collection highlights the essential role played by remote sensing in monitoring these changes, offering critical insights into adaptive and mitigation strategies suited to diverse regional contexts. By presenting satellite-based analyses of extreme weather events, ecosystem responses, and resource assessments, this Reprint provides a comprehensive view of remote sensing applications for climate resilience.In this Reprint, researchers and practitioners will find case studies and methodological advancements that showcase remote sensing's potential to quantify climate-induced changes and evaluate adaptation measures. This Reprint is an invaluable resource for scientists, policy makers, and professionals working in climate science, environmental monitoring, and sustainable development. The insights found within this Reprint aim to support data-driven decisions in adapting to and mitigating the complex challenges posed by a changing climate.…

Buch. Etat : Neu. Regional Climate Change and Application of Remote Sensing | Buch | Englisch | 2024 | MDPI AG | EAN 9783725826100 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand.

Taschenbuch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - This book focuses solely on the issues of agricultural productivity analysis with advanced modeling approaches bringing solutions to food-insecure regions of the world, especially in south and southeast Asia and in Africa. Advanced modeling tools and their use in regional planning provide an outstanding opportunity to help face the challenges of climate change. The sudden effect of flash floods, drought, salinity, and sea water rises causing saltwater intrusions and its impact on agricultural production are some of the disastrous results of climate change.In this edited volume, information on climate-induced impacts for flooding, flash floods, and drought impact on agricultural crops is provided to address possible solutions for food security in south Asia, southeast Asia, and some regions of Africa. Leading-edge research methodology is presented as it relates to remote sensing applications for regional science and allied fields. In regional policy planning, agriculture andforestry play key roles in food security along with environmental conservation and depend on geo-spatial variability. Satellite remote sensing and geographical information systems have an immense potential to encompass all these factors and to catalogue the regional variability of climate change and climate economics. In the satellite remote sensing domain, advanced modeling tools, deep learning applications, and cloud-based earth engines significantly increase the flexibility of decision making and its application for regional perspectives. The result can increase agricultural and forest productivity and ensure its resilience and sustainability.The book's chapters introduce modeling techniques such as machine learning and fuzzy expert system using satellite remote sensing datasets based on cloud application. These methods assist regional planners to increase crop production, land use, and detection of changes in land cover in order to better understand their vulnerability toclimate-related disaster. Furthermore, remote sensing and in-depth GIS analysis are integrated with machine learning to address natural uncertainties such as flash floods, droughts, and cyclones so that emergency responses for agricultural production management can be adopted more effectively.…

Etat : New. Print on Demand.

Etat : New. PRINT ON DEMAND.