WaPOR database methodology: Version 2 release, April 2020 9789251329818

Варианты приобретения

Цена: 42510.00T
Кол-во:
о цене
Наличие: Отсутствует.
Возможна поставка под заказ. Дата поступления на склад уточняется после оформления заказа

Добавить в корзину

в Мои желания

Название: WaPOR database methodology: Version 2 release, April 2020
ISBN: 9789251329818
Издательство: Mare Nostrum (Eurospan)
Классификация:

Сырьевые отрасли промышленности

Сельское хозяйство и смежные отрасли

Засуха и водоснабжение

Устойчивое развитие

ISBN-10: 9251329818
Обложка/Формат: Paperback
Страницы: 90
Вес: 0.00 кг.
Дата издания: 30.12.2020
Серия: Earth Science
Язык: English
Читательская аудитория: Professional and scholarly
Ключевые слова: Agriculture & related industries,Drought & water supply,Sustainability, TECHNOLOGY & ENGINEERING / Agriculture / General
Подзаголовок: Version 2 release, april 2020
Рейтинг:
Поставляется из: Англии
Описание: This document describes the methodology used to produce data through the portal on Water Productivity through Open Access of Remotely sensed derived data (WaPOR). It specifically concerns data at 250m (Level 1), 100m (Level 2) and 30m (Level 3) resolution distributed through WaPOR Version 2, which was launched in June 2019 based on extensive internal and external validation and quality assessment.

The portal provides open access to various spatial data layers related to land and water use for agricultural production and allows for direct data queries, time series analyses, area statistics and download of key variables to estimate water and land productivity gaps in irrigated and rainfed agriculture. As of today, it provides access to 11 years of continued observations over Africa and the Near East.

Achieving food security while using water resources in a sustainable manner represents a major challenge for current and future generations. An increasing population, economic growth and climate change all add to the pressure on available resources, including intensive water use for agriculture. Systematic monitoring of water productivity through the use of remote sensing techniques can help to identify gaps and evaluate appropriate solutions.

WaPOR database methodology: Version 2 release, April 2020,