東華大學圖書館 |

Language: English

Help

回圖書館首頁

手機版館藏查詢

Back

Switch To: Labeled | MARC Mode | ISBD

Digital Soil Mapping and GIS-based L...

Massawe, Boniface Hussein John.

Linked to FindBook

Google Book

Amazon

博客來

Digital Soil Mapping and GIS-based Land Evaluation for Rice Suitability in Kilombero Valley, Tanzania.

Record Type:	Electronic resources : Monograph/item
Title/Author:	Digital Soil Mapping and GIS-based Land Evaluation for Rice Suitability in Kilombero Valley, Tanzania./
Author:	Massawe, Boniface Hussein John.
Description:	295 p.
Notes:	Source: Dissertation Abstracts International, Volume: 77-04(E), Section: B.
Contained By:	Dissertation Abstracts International77-04B(E).
Subject:	Agronomy. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3732359
ISBN:	9781339192758

Digital Soil Mapping and GIS-based Land Evaluation for Rice Suitability in Kilombero Valley, Tanzania.
Massawe, Boniface Hussein John.

Digital Soil Mapping and GIS-based Land Evaluation for Rice Suitability in Kilombero Valley, Tanzania. - 295 p.

Source: Dissertation Abstracts International, Volume: 77-04(E), Section: B.

Thesis (Ph.D.)--The Ohio State University, 2015.

A GIS-based multi-criteria land evaluation was performed in Kilombero Valley, Tanzania in order to avail decision makers and farmers with evidence based decision support tool for improved and sustainable rice production in this important region for agricultural investment. Five most important criteria for rice production in the area were identified through literature search and discussion with local agronomists and farmers. The identified criteria were 1) soil properties, 2) surface water resources, 3) accessibility, 4) distance to markets, and 5) topography. Spatial information of these criteria for the study area was generated.

ISBN: 9781339192758Subjects--Topical Terms:

2122783
Agronomy.

Digital Soil Mapping and GIS-based Land Evaluation for Rice Suitability in Kilombero Valley, Tanzania.
LDR:04109nmm a2200337 4500 001 2079457
005 20170313112149.5
008 170521s2015 ||||||||||||||||| ||eng d
020 $a 9781339192758
035 $a (MiAaPQ)AAI3732359
035 $a AAI3732359
040 $a MiAaPQ $c MiAaPQ
100 1 $a Massawe, Boniface Hussein John. $3 3195138
245 1 0 $a Digital Soil Mapping and GIS-based Land Evaluation for Rice Suitability in Kilombero Valley, Tanzania.
300 $a 295 p.
500 $a Source: Dissertation Abstracts International, Volume: 77-04(E), Section: B.
500 $a Adviser: Brian Slater.
502 $a Thesis (Ph.D.)--The Ohio State University, 2015.
520 $a A GIS-based multi-criteria land evaluation was performed in Kilombero Valley, Tanzania in order to avail decision makers and farmers with evidence based decision support tool for improved and sustainable rice production in this important region for agricultural investment. Five most important criteria for rice production in the area were identified through literature search and discussion with local agronomists and farmers. The identified criteria were 1) soil properties, 2) surface water resources, 3) accessibility, 4) distance to markets, and 5) topography. Spatial information of these criteria for the study area was generated.
520 $a To generate spatial soil information, field survey and lab analysis was conducted using base map generated from a legacy soil map and 30 m DEM. OSACA, a k-means based clustering application was used to perform distance metric numeric classification of soil profiles. The profiles were classified into 13 clusters. The clusters were demonstrated to be different from each other through comparison of modeled continuous vertical variability of selected attributes of modal soil cluster centroids by using equal area spline functions. Two decision tree based algorithms, J48 and Random Forest (RF) were applied to construct models to spatially predict the soil clusters using environmental correlates derived from 30 m DEM, 5 m RapidEye satellite image and legacy soil map using the scorpan digital soil mapping framework. The RF predicted soil cluster map was picked for land evaluation because the algorithm demonstrated superiority by having comparatively higher predictive rate and pixel contiguity. Topsoil attributes values of predicted soil clusters were used to produce soil physical and chemical properties maps.
520 $a On-screen digitization, reclassifications and overlays in ArcMap and Whitebox GIS softwares were used to create spatial layers of the other identified criteria. Rivers were digitized from the satellite image and topographic map of the study area to create surface water resources map. Roads were digitized to create accessibility map and market centers coordinate points were digitized to create distance to market map. Slope gradient derivative from DEM was used to create topography map.
520 $a Analytical hierarchy process (AHP) method was used to score the criteria by the local extension staff and lead farmers on a scale of 0.0 - 1.0. Surface water resource scored the highest weight (0.462) followed by soil chemical properties (0.234). Other criteria and their weight in paranthesis are soil physical properties (0.19), topography (0.052), accessibility (0.036), and distance to market (0.025).
520 $a The multi-criteria land evaluation results showed that about 8% of the study area was classified as having low suitability for rice production while only 2% was highly suitable. The majority of the area (about 89%) was classified as having medium suitability for rice production. Since the suitability decision was dominated by the surface water resource criterion, the rice suitability in the study area can be greatly improved by improving the water resources management.
590 $a School code: 0168.
650 4 $a Agronomy. $3 2122783
650 4 $a Soil sciences. $3 2122699
650 4 $a Geographic information science and geodesy. $3 2122917
690 $a 0285
690 $a 0481
690 $a 0370
710 2 $a The Ohio State University. $b Environment and Natural Resources. $3 3185293
773 0 $t Dissertation Abstracts International $g 77-04B(E).
790 $a 0168
791 $a Ph.D.
792 $a 2015
793 $a English
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3732359