z-logo
open-access-imgOpen Access
Mapping of tenure status of paddy field and their relation to rice farming
Author(s) -
Khursatul Munibah,
Baba Barus,
Boedi Tjahjono,
Tesa Granita Mandalika
Publication year - 2019
Publication title -
iop conference series earth and environmental science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.179
H-Index - 26
eISSN - 1755-1307
pISSN - 1755-1315
DOI - 10.1088/1755-1315/399/1/012055
Subject(s) - paddy field , hectare , agriculture , geography , population , profit (economics) , business , agricultural science , agricultural economics , environmental science , economics , demography , archaeology , sociology , microeconomics
Some important government programs, such as Sustainable Agriculture Food Protection, in its implementation need to be supported by tenure status of paddy field map. High resolution satellite imagery is data source that can be used for mapping of that data. The rice is a staple food for Indonesian people, however the conversion of paddy field into built-up area increase due to population growth and economic activity. This study aims to map the tenure status of paddy field and rice farming. Mapping of the tenure status is based on paddy fields parcel resulting from visual interpretation of high-resolution satellite imagery and field verification. The tenure status of paddy fields were obtained from fieldwork with the census method on each parcel. Analysis of rice farming was assessed based on the area and tenure status of paddy fields. The results showed that the mapping accuracy of the parcel number was 96.72%. The spatial pattern of parcel based on owner and sharecropping categories show all have cluster patterns (NNI 1) and the highest profit is >2 hectare, but those managed by owner is more profitable (R 2 = 0.71).

The content you want is available to Zendy users.

Already have an account? Click here to sign in.
Having issues? You can contact us here
Empowering knowledge with every search

Address

John Eccles House
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom