Ramezan christopher (15 résultats)

Etat : New.

HRD. Etat : New. New Book. Shipped from UK. Established seller since 2000.

HRD. Etat : New. New Book. Shipped from UK. Established seller since 2000.

Etat : As New. Unread book in perfect condition.

Etat : New.

Hardback. Etat : New.

Etat : New.

Etat : As New. Unread book in perfect condition.

Hardback. Etat : New.

Etat : New. Provides a practical handbook for implementing supervised machine learning techniques to geospatial data, with step-by-step methodologies and case studiesDiscusses the full spectrum of machine and deep learning methods for classification an.

Hardcover. Etat : new. Hardcover. Land cover and land use (LCLU) is an important component of the Earth system. It affects ecosystem services, water conservation, infectious disease outbreaks, food security, the climate system, urban forms, etc. In the last few decades, remote sensing technology has evolved dramatically for better radiometric, spatial, and spectral resolution image products. Such advances in remote sensing, together with a variety of machine- and deep learning algorithms and multiple high-performance cloud computing platforms, further provide the potential and opportunities for fine-resolution, global-scale, and dynamic LCLU mapping. In addition, along with the development of drone technology, the (near) real-time monitoring of land surface in different sectors, such as forestry and agriculture, has attracted much attention in recent years. The improved documenting of LCLU leads the scientific community to further explore the driving factors of LCLU changes and reveal the underlying mechanisms for better land use planning. This Reprint synthesizes recent advances in LCLU mapping, change detection, accuracy assessment, and driver analysis, providing important insights into the remote sensing of LCLU. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.…

Hardcover. Etat : new. Hardcover. Land cover and land use (LCLU) is an important component of the Earth system. It affects ecosystem services, water conservation, infectious disease outbreaks, food security, the climate system, urban forms, etc. In the last few decades, remote sensing technology has evolved dramatically for better radiometric, spatial, and spectral resolution image products. Such advances in remote sensing, together with a variety of machine- and deep learning algorithms and multiple high-performance cloud computing platforms, further provide the potential and opportunities for fine-resolution, global-scale, and dynamic LCLU mapping. In addition, along with the development of drone technology, the (near) real-time monitoring of land surface in different sectors, such as forestry and agriculture, has attracted much attention in recent years. The improved documenting of LCLU leads the scientific community to further explore the driving factors of LCLU changes and reveal the underlying mechanisms for better land use planning. This Reprint synthesizes recent advances in LCLU mapping, change detection, accuracy assessment, and driver analysis, providing important insights into the remote sensing of LCLU. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.…

Hardcover. Etat : new. Hardcover. Land cover and land use (LCLU) is an important component of the Earth system. It affects ecosystem services, water conservation, infectious disease outbreaks, food security, the climate system, urban forms, etc. In the last few decades, remote sensing technology has evolved dramatically for better radiometric, spatial, and spectral resolution image products. Such advances in remote sensing, together with a variety of machine- and deep learning algorithms and multiple high-performance cloud computing platforms, further provide the potential and opportunities for fine-resolution, global-scale, and dynamic LCLU mapping. In addition, along with the development of drone technology, the (near) real-time monitoring of land surface in different sectors, such as forestry and agriculture, has attracted much attention in recent years. The improved documenting of LCLU leads the scientific community to further explore the driving factors of LCLU changes and reveal the underlying mechanisms for better land use planning. This Reprint synthesizes recent advances in LCLU mapping, change detection, accuracy assessment, and driver analysis, providing important insights into the remote sensing of LCLU. This item is printed on demand. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.…

Buch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Land cover and land use (LCLU) is an important component of the Earth system. It affects ecosystem services, water conservation, infectious disease outbreaks, food security, the climate system, urban forms, etc. In the last few decades, remote sensing technology has evolved dramatically for better radiometric, spatial, and spectral resolution image products. Such advances in remote sensing, together with a variety of machine- and deep learning algorithms and multiple high-performance cloud computing platforms, further provide the potential and opportunities for fine-resolution, global-scale, and dynamic LCLU mapping. In addition, along with the development of drone technology, the (near) real-time monitoring of land surface in different sectors, such as forestry and agriculture, has attracted much attention in recent years. The improved documenting of LCLU leads the scientific community to further explore the driving factors of LCLU changes and reveal the underlying mechanisms for better land use planning. This Reprint synthesizes recent advances in LCLU mapping, change detection, accuracy assessment, and driver analysis, providing important insights into the remote sensing of LCLU.…

Buch. Etat : Neu. Advances in Mapping Land Cover and Land Use Based on Remotely Sensed Data | Buch | Englisch | 2026 | MDPI AG | EAN 9783725871704 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand.