Seminary on Brazil's land use such as Methodological courses in GIS at SahelTech

Amadou Bina Prof Coulibaly

Description

This article is a summary of “Land use change detection for environmental management: using multi-temporal, satellite data in the Apodi Valley of northeastern Brazil” wrote by Mukesh Singh Boori and Venerando Eustáquio Amaro. In fact, we try disengaging its importance for our country “Mali in Africa” especially all scientific methods used by its experiment authors. We have been not trying to confiscate this article’s properties but we are instead showing GIS’ and Remote Sensing’s utilities to people who are interested about this subject in the other hand we try to make political decision maker paying attention about the high quality of this scientific methods for revolving environmental problems caused by agriculture extension. Please to cite the original note such as: Boori, M.S. & Amaro, V.E. (2010)-Land use change detection for environmental management: using multi-temporal satellite data in the Apodi Valley of northeastern Brazil, Applied GIS, 6(2), 1-15.
COULIBALY A.B, Student in Geography Information Systems and Management of Natural Resources at SahelTech from 2010 to 2012 under the late Professor KONATE D,responsibility President of SahelTech in Mali.

Sujets

• Vé

Informations

• Publié par: Prof_Amadou_Bina_COULIBALY_Directeur_Technique_de_PEDGES_International
• Publié le: 17 mai 2013
• Nombre de lectures: 57
• Langue: English

Extrait

REPUBLIC OF MALI
A People-A Purpose-A Faith

Scientia, Virtus, Labore
www.stech.edu.ml




Applied GIS
Theme of seminary


Land use change detection for environmental management: Using multi-
temporal, satellite data in the Apodi Valley of northeastern Brazil

Wrote by
1Mukesh Singh Boori
Venerando Eustáquio Amaro
Geo-processing Laboratory, Geodynamic & Geophysics Division,
Department of Geology, Center of Exact Sciences and Earth,
Federal University of Rio Grande do Norte,
Natal–RN,
Brazil (2010)
[e-mail]

Summarized and presented by
Amadou Bina Coulibaly
[e-mail]

Managed by
Pr Dialla Konate
[e-mail]

th thFrom March, 6 to April 6 2012
Bamako/Mali Contents
I) Abstract, objectives and methodology of the survey
II) Problems expressed in this study: what’s advice for our country Mali?
III) Scientific methods and variables used in this survey: Do all of these variables
have a sense in Mali?
IV) Plan of the survey
V) Role of images in the survey
VI) How this study can be used to improve the management of the environment,
of the human and natural resources?
VII) Conclusions of this survey
VIII) Can we lead the same survey in Mali?
IX) Arguments from this survey permitting to convince a Malian’s authority of
the interest of GIS
X) Comment about GIS’ utility
Conclusion
Reference













1) Abstract, objectives and methodology of the survey
Abstract:
This study is a contribution about land use and land cover in the Apodi Valley in the
semiarid region of northeastern Brazil, with geographic coordinates range from a latitude
04°55'46".77 to 05°13'39".41 south and from longitude 37°01'30".79 to 37°22'42".42 east. It
tried evaluating land use and land cover changes between 1986-2009 into using satellite
imagery data for 1986, 1989, 1996, 2001, and 2009. In fact, the maximum likelihood
supervised classification, and post classification change detection technique in remote sensing
and GIS (Geography Information System) were also used in this study. For performing the
classification results on satellite images, using ancillary data, visual interpretation and expert
knowledge of the area through GIS were done in order to map land cover in the so-called
township.
Objectives:
This present survey wants to be a contribution to the survey and to the elaboration of
map of land use in northeastern in Brazil by using satellite images in the goal to contribute to
the best natural resource management. For that to make; it aims to:
 Provide a recent perspective of different land-cover types,
 Monitor 1986-2009 land-cover changes using supervised classification,
 And describe problems and make brief suggestions for improved management of
natural resources.
Methodology:
Firstly, the methodology research of this survey is consisted to select general and
special books or articles which have already analyzed the similar themes as Coppin, P. et.al.
(2004) about Digital change detection methods in ecosystem monitoring published in the
International Journal of Remote Sensing; Aboel Ghar, M., Shalaby, A. & Tateishi, R. (2004)
on Agricultural land monitoring in the Egyptian Nile Delta using Landsat data in the
International Journal of Environmental Studies and Lins, K.S. & Kleckner, R.L. (1996) about
Land cover mapping: An overview and history of the concepts, in Scott, J.M., Tear, T.H. &
Davis, F. (eds.) concerning Gap analysis: a landscape approach to biodiversity planning,
Bethesda, MD, American Society for Photogrammetry and Remote Sensing. This fact allows
theirs to specify what they’ve to do for getting their objectives. Thus, in this study they try
explaining insufficient you’ll probably find when you’re working with satellite data or images
in extracting information from this. For completing data research to improve image quality,
they apply some methods as supervised classifications; post-classification that Remote
Sensing’s or Geography Information System’s (GIS) software as Envi, Idrisi, ArcGis and
MapInfo offers us. 2) Problems expressed in this study: what’s advice for our country Mali?
For many countries in the world agriculture was an important engine for economic
development, and the livelihood of rural populations and the welfare of entire countries
critically depend on agricultural productivity. At the same time, agricultural practices have
enormous consequences for natural systems and threaten the natural resource in many regions.
This fact was consented in northeaster Brazil about 25 years by a multitude of problems as
major disturbances, both natural and manmade-drought, civil disturbances leading to
migration, large population increases and globalization. Each of these has had implications for
land use requirements, with subsequent impacts on natural vegetation cover, biodiversity
socio-economic stability and food security. Thus, in this survey they want to resolve this
problem even reduce its ampler by using satellites data and making map which exposes the
evolution of each phenomenon and its impact each other on northeastern Brazil’s land.
Besides this survey is fundamentally significance for Mali, so given the importance of
agriculture for sustainable development in this country, it is paramount to make map of land
use and land cover to monitor and assess the natural and economic impacts of environmental
change by using satellite images. Another importance of this survey for Mali is to allow
political and administrative authorities being able to detect very quickly the problem and to
make real decisions at any times while supervising environmental evolutions. This fact
diminishes the economic wasting.
3) Scientific methods and variables used in this survey: Do all of these variables
have a sense in Mali?
As we said at the beginning, methodology research was done on general and special
articles. So the main method in this study has consisted to analyze satellite data for the study
area with Remote Sensing’s software as Envi by applying the maximum likelihood supervised
classification, and post classification. In this logical, they proceed by using orbital images of
Landsat TM, ETM+, Spot 4-HRVIR, IKONOS and CBERS 2B satellite data. Then for
secondary data collecting they used SB-24-XB-IV, SB-24-XDI, XDI-SB-24-1-2 and MI-897-
2 topographic sheets. After that, Digital image processing was performed using the ER
Mapper 7.1 software, which involved geo-coding using the UTM (Universal Translator
Mercator) cartographic projection zone 24S-Datum SAD-69 with the Root Mean Square
(RMS) error being less than 1.0 meters. At the ending of this step, a Global Position System
(GPS) with an accuracy of 10 meters was used to map and collect the coordinates of
important land use features during pre- and post-classification field visits to the study area in order to prepare land-use and land-cover maps. The area was classified into fifteen main
classes and each class reflects and introduces one phenomenon as below:
1. Wetland: Land whose soil is saturated with moisture either permanently or
seasonally, so such areas are covered either partially or completely by shallow pools of water.
2. Agriculture: Areas cultivated with annual crops, vegetables, or fruit
3. Forest (CAATINGA): Small trees and shrub vegetation area except for savanna
vegetation.
4. Exposed soil: Land areas of exposed soil surface influenced by human impacts
and/or natural causes, containing sparse vegetation with very low plant cover due to
overgrazing and woodcutting
5. Fixed dunes: Vegetation has developed on dunes so that it forms a more or less
complete cover of the substrate
6. Industry: Shrimp, salt and other economic activities
7. Pond: Permanent or temporary water body
8. Mangroves: Small trees and shrubs grow near the saline coast line and river
9. Mobile dunes: Dunes without vegetation
10. Ocean & river: The Apodi River and its mouth to the Atlantic Ocean
11. Petroleum: Oil and natural gas
12. Salt: Transitional areas between land and water, occurring along the intertidal
shore of estuaries and sounds where salinity ranges from near ocean strength to near fresh in
the river area
13. Shrimp: Aquaculture sites that cultivate marine shrimp or prawns for human
consumption.
14. Stabilized pond: Permanent water bodies for industrial purposes
15. Urban: Includes construction activities along the coastal dunes (summer resorts)
as well as sporadic houses of the Bedouins within the local villages and some governmental
buildings in the main cities of Mossoro, Areia Branca and Grossos.
With these methods they were able to determine exactly changes by percentage of
every class and then to locate in map during four intervals: 1986-1989, 1989-1996, 1996-
2001, and 2001-2009.
All of these variable