G1 Presentation_Reflection Workshop_April 10-11_2013Gbdc 5 Presentation

7/28/2019 G1 Presentation_Reflection Workshop_April 10-11_2013Gbdc 5 Presentation

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G1 project overview and update for

GBDC reflection meeting

Andy Nelson & Parvesh Chandna - IRRI

10/04/13

Dhaka

On behalf of:

BWDB Bangladesh Water Development Board

IWM Institute of Water Modelling

IRRI International Rice Research Institute

LGED Local Government Engineering Department

SRDI Soil Resource Development Institute



WP3 – Extrapolation domains

OUTCOMES

Change in Knowledge,

Attitude and/or Skills

Change in Practice /

Behaviour Impact

Project outputsLocal GO, extension agents and scientists responsible for

agricultural technical innovations

Compilation of a

geodatabase covering

all thematic spatial

information related to

the project, including

characterization of the

test sites and study

areas

Learn about new technologiesand where its chances of

adoption is greatest.

Use of domain maps as a

decision support tool tomore effectively scale up

the adoption of new

technologies

Increased chances

of appropriate

technology

adoption and

likelihood of

adoption of sustainable land

and water use

policies.

Extrapolation domainsfor each technology

National level policy makers responsible for water resourceand land management and land use zoning.

Land-use plans based

on trends,constraints,

and interventions

Understand the implications

of different land use plans

under different future

scenarios.

Use the maps as decision

support tools when

planning future

interventions.



Overview

- introduction

Parvesh

- data sharing and collaboration

- extrapolation domains

[discussion]

Andy

- introduction to the WebGIS

- work plan for year 3

- issues that are important from a development context/ from a strategic

science context- wrap up

- G1 partners additions/comments

[final discussion]



Extrapolation Domains?

BDWB IWM IRRI LGED SRDI



Introduction

1. Datasets Shared by G1 Partners

2. Extrapolation Domains

Material and Methods

Results

Data gaps

Linkages to Mouza level SE datasets

Ex. Domain activities till Nov. 2013



IWM & BWDB

• Maximum and minimum water salinity for coastalzone (monthly average from Jan to June for 2011)

• High resolution digital elevation model for coastalregion (IWM)

• Flood inundation depth data for 9 polders (7 days)and DEM (IWM)

• Vector layer of polder boundaries, khals and sluicegate locations ( IWM/BWDB)

• Surface water level data for > 200 locations (BWDB)

• Ground water quality and level data of six districts(68 locations from 2002 to 2011)



SRDI

• Soil Salinity Map of 2000 and 2009 - coastal region

• Physiographic Map - Bangladesh

• Agro-ecological regions - Bangladesh

• Land types (flood inundation depth) for coastal zone

• Soil pH layer – 15000 samples for lower coastal zone

• General soil map

• Salinity monitoring data – 36 samples



LGED

• Mouza boundaries - Barisal and Khulna divisions

• Road/River/Khal maps - Barisal and Khulna

• Rural market and growth centre locations

• Rapid Eye Satellite Images of south-western area

• Village level census data (Ag) – Barisal and Khulna



Extrapolation Domains



Process… Selection of critical parameters

Development of criteria for landuse requirements in

consultation with domain experts

Decision rules

Existing spatial data and creation of new layers

Satellite data processing (23m and 5m resolution)

Geo-statistical Modeling

Draft Layers for discussion and evaluation among

CPWF-G1 team

and .. GDBC team and stakeholders

Refinement in landuse requirements and criteria

Open access of final extrapolation domain maps through

WebGIS

Material and Methods



Study Area

Material and methods

Polder 30

Polder 3Polder

43/2F



Existing system for validation(1)Aman – Rabi crop

(2)Aus - Aman

(3)Aman - Shrimp

(4)Year round aquaculture

Innovative systems for targetting

(1)Aman (HYV) - Rabi (HVC)

(2)Aus – Aman - Boro

(3)Aus - Aman - Rabi crop

(4)Boro - Aman(5)Aus (HYV) – Aman (HYV)

(6) Year round polyculture

(7) Aman - Shrimp

Each one can be mapped as present and conditional system

Proposed number of domains to map




Year Round Aquaculture

S1 = Most Suitable S2 = Suitable S3 = Least Suitable SN = Not Suitable


Criteria and parameters for developing extrapolation domains

S1



Flood

Inundation

depth

Soil pHSoil texture

Min Temp – 2nd week of Feb and March Max water salinity levels




Preliminary Results and Progress

P li i R lt



0-7 days - Feb 7-15days - Feb

21-30 days - Feb

15-21days - Feb

Extrapolation domains/suitable areas for Pl stocking

0-7 days - Feb 7-15days - Feb 15-21days - Feb0-7 days - Feb 7-15days - Feb

21-30 days - Feb

15-21days - Feb0-7 days - Feb 7-15days - Feb

0-7 days - March

Preliminary Results …

P li i lt



Areas Suitable for Shrimp Cultivation

Preliminary results …

S1 = Dark Green

S2 = Light Green

S3 = Purple

SN = Yellow

P li i lt



Areas Suitable for Aman Rice Cultivation


S1 = Dark Green

S2 = Light Green

S3 = Purple

SN = Yellow

P li i lt



Suitability for Shrimp-Aman Cultivation

Shrimp Aman Rice

Shrimp-Rice


S1 = Dark Green

S2 = Light Green

S3 = Purple

SN = Yellow

Preliminar res lts



Suitability for TAus- Aman Rice Cultivation

TAusTAman

TAus-Aman Rice

S1 = Dark Green

S2 = Light Green

S3 = Purple

SN = Yellow


Preliminary results



Shrimp TAus Aman

Shrimp-Aman

Aman

Ex. Domains at Polder Level

S1 = Dark GreenS2 = Light Green

S3 = Purple

SN = Yellow


Datagaps



What is needed for higher accuracy

Shrimp Aman Rice

Datagaps …

Work in Progress



Work in Progress…

3 Ground Survey completed to cover Aman and Boro

Crops

Spectral Signature for specific crops and situations

created

First version of Land Use Land cover map (23 m

resolution) near to completion after Aus GT in June2013

Initial Soil salinity map generated using salinity index

… need improvement – Yellow Band classification

with decision rule

Linkages to SE and LULC



Socio-economic datasets and

linkages to extrapolation domains ?

Values in percent

Percentage of small farmers Percentage of leased Land

More than 10,000 Mouzas

Otther datasets include Population, work participation rates, literacy rates, labour,

farm machination, irrigation, livestock, crop area, HYVs and cropping intensity

Linkages to SE and LULC …



Ex. Domain Activities until Nov. 2013

Landuse/Land cover map – High resolution all major crops and cropping system information

Selection of SE Parameters and their Criteria to

incorporate in Ex Domains in Consultation with G3

Consultation with GBDC partners and beyond to

evaluate and improve the Ex domains maps and their

Criteria

Develop Ex. Domain criteria for Innovative croppingsystem in consultation with G2

Improved data layers in consultation with G4, G2 and

G1 partners and stakeholders



Thank You



WebGIS for GBDC

Why a webGIS?

To disseminate and publicise outputs from G1

To put GBDC “on the map”

To show where we (G1 and other G‟s) work

To control access to the datasets



WebGIS for GBDC

Platform – ESRI ArcGIS Server 10 hosted on Amazon cloud

G S f G C



WebGIS for GBDC

What does this mean?

Amazon cloud platform is “Always on” and not limited by the bandwidth

or infrastructure of any GBDC partner

Data upload to the webGIS is currently managed by IRRI

ANYONE can view the data online

ONLY REGISTERED USERS can download the GIS data – they can

download in bulk or direct to their GIS via a “Web Mapping Service”

We have made a demo page as an example of that it looks like

W bGIS f GBDC



WebGIS for GBDC

To be discussed

All layers generated by G1 will be on the GIS for view/download. What

other layers are we willing to share for viewing or downloading?

What other information from GBDC could be on there? Survey sites?

Trial sites? Other activities?

WebGIS should be embedded in GBDC web presence.

Need to agree on registration process, and restrictions on use for data

download.

IRRI absorbs cost of webGIS during project lifetime, who will take this on

after the project ends?

F k l



Future work plans

Complete extrapolation domains

criteria and datasets finalised with partners in May

inclusion of socioeconomic factors in May/Junconventional cropping patterns in Jul, validated in Aug

innovative cropping patterns in Oct, validated in Nov

Complete land cover / land use mapping

fieldwork complete in Jun

map validated by partners/stakeholders in Aug/Sep

[future land use plans to de discussed/developed with G4]

WebGIS developmentinterface and functionality complete in Jul

consultation with GDBC on sustainability Jul

consultation on how and with whom to share datasets Aug

first layers made available in Aug

inclusion of information from other G projects in Oct

E d i 2013/14



Expected outputs in 2013/14

Publications

CPWF Report on extrapolation domains method and results

CPWF Report on future land use scenarios in the coastal zoneHigh resolution land cover & soil salinity mapping in the coastal zone

Contribution to a policy brief on areas suitable for intensification

Contribution to a policy brief on future scenarions

Datasets

Mouza level 2008 Agriculture and 2011 Population census datasets

Extrapolation domain maps for ~ 12 cropping systems

Validated high resolution land cover /land use map for 2013

WebGIS

R h i



What issues are coming out of the project important

from a development context / from a strategic science

context

How to maintain the data sharing environment / partnerships

beyond the project?

The benefit of this within G1 was highlighted in our MSC story, but

how can this be sustained post project? Too many projects „waste‟

precious time & effort in data collection or rather data searching.

What are the mechanisms and incentives at management level ineach institute to promote more transparent access to and

information about data holdings?

Research issues

R h i





context

The first extrapolation domains have already identified areas (i.e.

Polder 43/2f) that are highly suitable for intensification. More

areas will follow as more domain maps are produced.

How do we go beyond the remit of G1 and the GDBC to

convince stakeholders to not only refer to these domains but to

actually act up on them?

What is the effect of land tenure, poverty and livlihood constraints

on adoption and what are the strategies to increase adoption

under these conditions?

Research issues

R h i





context

What are the potential gains in productivity (from G2) and income

(from G2) in moving from current cropping systems (from land use

map) to more intensive options (from domain maps) and howmany farms/farmers would be affected (from census data)?

Research issues

How will these gains be affected by the future change scenarios?

C t f G1 t



Comments from G1 partners



Th k

Documents

G1 Presentation_Reflection Workshop_April 10-11_2013Gbdc 5 Presentation