A Framework to Assess the Extent and Effectiveness of Community-based Forestry, 

Автор: Genesis T. Yengoh; David Dent; Lennart Olsson; Ann
Название: Use of the Normalized Difference Vegetation Index (NDVI) to Assess Land Degradation at Multiple Scales
ISBN: 3319241109 ISBN-13(EAN): 9783319241104
Издательство: Springer
Рейтинг:
Цена: 7836.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: This report examines the scientific basis for the use of remotely sensed data, particularly Normalized Difference Vegetation Index (NDVI), primarily for the assessment of land degradation at different scales and for a range of applications, including resilience of agro-ecosystems.

Название: Assessing the Governance of Tenure for Improving Forests and Livelihoods: A Tool to Support the Implementation of the Voluntary Guidelines on the Responsible Governance of Tenure
ISBN: 9251315531 ISBN-13(EAN): 9789251315538
Издательство: Mare Nostrum (Eurospan)
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Цена: 10672.00 р.
Наличие на складе: Нет в наличии.

Описание: Presents a tool for understanding the strengths and limitations of forest tenure reforms. The paper was developed to recognise the resource use rights of local communities, with the overall objective of improving forest governance and reducing poverty.

Автор: Nikolay Viktorovich Baranovskiy
Название: Predicting, Monitoring, and Assessing Forest Fire Dangers and Risks
ISBN: 1799818683 ISBN-13(EAN): 9781799818687
Издательство: Mare Nostrum (Eurospan)
Рейтинг:
Цена: 26334.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: To understand the catastrophic processes of forest fire danger, different deterministic, probabilistic, and empiric models must be used. Simulating various surface and crown forest fires using predictive information technology could lead to the improvement of existing systems and the examination of the ecological and economic effects of forest fires in other countries. Predicting, Monitoring, and Assessing Forest Fire Dangers and Risks provides innovative insights into forestry management and fire statistics. The content within this publication examines climate change, thermal radiation, and remote sensing. It is designed for fire investigators, forestry technicians, emergency managers, fire and rescue specialists, professionals, researchers, meteorologists, computer engineers, academicians, and students invested in topics centered around providing conjugate information on forest fire danger and risk.

Автор: Nikolay Viktorovich Baranovskiy
Название: Predicting, Monitoring, and Assessing Forest Fire Dangers and Risks
ISBN: 1799818675 ISBN-13(EAN): 9781799818670
Издательство: Mare Nostrum (Eurospan)
Рейтинг:
Цена: 34373.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: To understand the catastrophic processes of forest fire danger, different deterministic, probabilistic, and empiric models must be used. Simulating various surface and crown forest fires using predictive information technology could lead to the improvement of existing systems and the examination of the ecological and economic effects of forest fires in other countries. Predicting, Monitoring, and Assessing Forest Fire Dangers and Risks provides innovative insights into forestry management and fire statistics. The content within this publication examines climate change, thermal radiation, and remote sensing. It is designed for fire investigators, forestry technicians, emergency managers, fire and rescue specialists, professionals, researchers, meteorologists, computer engineers, academicians, and students invested in topics centered around providing conjugate information on forest fire danger and risk.