Индексировано в
  • Open J Gate
  • Журнал GenamicsSeek
  • Академические ключи
  • ИсследованияБиблия
  • Космос ИФ
  • Доступ к глобальным онлайн-исследованиям в области сельского хозяйства (AGORA)
  • Библиотека электронных журналов
  • RefSeek
  • Справочник индексации исследовательских журналов (DRJI)
  • Университет Хамдарда
  • ЭБСКО АЗ
  • OCLC- WorldCat
  • Ученый
  • Интернет-каталог SWB
  • Виртуальная биологическая библиотека (вифабио)
  • Паблоны
  • Женевский фонд медицинского образования и исследований
  • Евро Паб
  • Google Scholar
Поделиться этой страницей
Флаер журнала
Flyer image

Абстрактный

Irrigated rice area mapping over Bangladesh with remotely sensed data from 2001 to 2018

Md Rahedul Islam

Spatial information on irrigated area is very important for crops water requirements, agricultural planning, water management, and climate changes mitigation. It is challenging to map irrigated rice areas by images classification methods due to the spectral similarity between with and without irrigation. In this study, we developed an index for potential irrigated rice area map for three different seasons by using remote sensing-based evapotranspiration (MOD16A2), precipitation (GSMaP) data from 2001 to 2018 and local climate adjusted CROPWAT based rice crop coefficient data. By using the index, classified the rice are withing three different types of irrigated area; (i) irrigated, (ii) rainfed and (iii) supplementary irrigated rice area for three different rice growing season of Bangladesh. The result compared with the National statistical and others relevant irrigated area data. It’s found, the dry season irrigated rice (Boro) area shows a good relationship with the national statistical data, but the wet seasons amon and aus irrigated rice areas shows comparatively low agreement.