Prototype activity
On Going
INDONESIA
Potential Drought Monitoring
Prototyping Title Potential Drought Monitoring
over Agriculture Area in Java Island, Indonesia
Country / Study Area Indonesia / Java Island
Executor
 Local member
Indonesian National Institute of Aeronautics and Space (LAPAN)
(User Agency: Min. of Agriculture)
Background

As Earth’s climate changes, extreme events like heat waves, droughts or floods are expected to change. Drought is an insidious natural hazard characterized by lower than expected or lower than normal precipitation that, when extended over a season or longer period of time, is insufficient to meet the demands of human activities and the environment.

Drought is a normal part of climate, although its spatial extent and severity will vary on seasonal and annual time scales. Therefore, drought by itself is not a disaster. Whether it becomes a disaster depends on its impact on local people, economies, and the environment and their ability to cope with and recover from it.

Drought monitoring and early warning are major components of drought risk management. The goal of drought risk management is to increase society’s coping capacity, leading to greater resilience and a reduced need for government or donor interventions in the form of disaster assistance.

Types of drought:
-. Meteorological drought:
A precipitation deficiency threshold over a predetermined period of time.
-. Agricultural drought:
The availability of soil water to support crop and forage growth.
-. Hydrological drought:
The departure of surface and subsurface water supplies from some average condition at various points in time.
Objective
1) To enhance the understanding on climate change-related drought in Indonesia;
2) To develop the methods/techniques of drought monitoring over the agriculture areas in Java island accessible for users and public;
Estimated benefits
1) As an early warning to reduce potential drought-related impacts and risks before a drought occurs.
2) As a practical tool for the hazard risk managers and decision makers.
3) Building the capacities among researchers within and outside Indonesia through knowledge, experience, and skill sharing.
Overview of the activity

This activity will focus on meteorological and agricultural droughts monitoring.

The activity in 2010 will cover:
1) Developing methods of drought indices that suitable for Indonesia, such as Standardized Precipitation Index (SPI) for meteorological drought; Normalized Difference Vegetation Index (NDVI) anomaly, Enhanced Vegetation Index (EVI) anomaly, Vegetation Condition Index (VCI), Temperature Condition Index (TCI), and Vegetation Index (VHI) for agricultural drought.
2) Acquiring, processing, and analyzing SPI from daily and monthly rainfall from TRMM and GSMap data for some sample areas. Time period: last 10 years.
3) Acquiring, processing, and analyzing NDVI anomaly, EVI anomaly, VCI, TCI, and VHI from sixteen-day and monthly MODIS data for some sample areas. Time period: last 4 years.
4) Identifying the origin and its associated land cover change through the time series analysis of NDVI or EVI overlaid with land cover map from ALOS and Landsat data for some sample areas. Time period: last 4 years.
The activities in 2011 will cover:
5) Ground-checking validation.
6) Examining the uncertainties of drought indices and their ability to detect drought events in Indonesia and selecting the best drought indices to use in monitoring.
7) Monitoring meteorological drought for Indonesia.
8) Monitoring agricultural drought for Indonesia.
Technical Supporter,
Data & Application Provider
UT, Asian Institute Technology/GIC
JAXA
- Satellite data
 / Data product
LAPAN: MODIS, Landsat
JAXA: TRMM 3B43.6
AIT: MODIS data
UT : AMSR-E, GSMaP and MTSAT
Paddy Area Map (Irrigated and non-irrigated)


SRI LANKA
Risk of Sea Level Rise on Coastal Zone
Prototyping Title Risk of Sea Level Rise on Coastal Zone
Assessment of Reliability of Fairly Accessible Data & Tools for Analyzing Impacts of Climate Change and Analysis of Risk of Sea Level Rise on Coastal Zone, Sri Lanka
Country / Study Area Sri Lanka / Kalpitiya coastal area, entire west coast of the country
Executor
 Local member
Coast Conservation Department (CCD), Sri Lanka
Survey Department, Sri Lanka
Disaster Management Centre, Sri Lanka
Ministry of Environment & Natural Resources, Sri Lanka
Background

The subject of climatic change is now discussed at many forums not only at National levels, but also at regional level. Climate change studies in Sri Lanka are still at primary level. As an Island Nation in the Indian ocean, Sri Lanka coastal zone is vulnerable for the sever impacts due to climatic change but mainly due to sea level rise. Inundation, increased erosion, salinity intrusion, surges & wave over topping etc. Assessment of the hazards, vulnerabilities and risk are required for the identification of preparedness, adaptation and mitigation alternatives. But for the studies accessible and realistic data & tools should be available. Remote sensing and space based technology have become very important and timely tools for assessing coastal dynamics and related changes more easily and this project will target use of these technologies and application development within CCD.

Objective

Development of “Coastal Monitoring System” for near-shore environments based on Satellite data for the West coast of Sri Lanka

Estimated benefits
1. Life help for the coastal community in preparedness against impacts of climate change
2. Identify the technology transfer needs in relation to climate change
3. Design alternative adaptation and mitigation actions against climate change
4. Deploy programs to maintain & enhance the productivity of the coastal zone while the climate is being changed
Overview of the activity
• Search for data & tools availability for the climate chance related studies
• Assess the accessibility for the above data & tools
• Analyze the hazards, vulnerabilities, and risk due to the subsequences of climate change, utilizing the accessible data
• Analyze the accuracies & resolutions of the outcomes and determine the possible improvements
• Assess the reliability of data & tools for the climate change related studies and determine the drawbacks & gaps
• Design and deploy measurement, data collection & monitoring programs to fill the gaps and streamline existing programs to meet the requirement of studies
Technical Supporter,
Data & Application Provider
Coastal Engineering Laboratory, The University of Tokyo, Japan
GeoInformatic Center, Asian Institute of Technology, Thailand
JAXA
- Satellite data
 / Data product
ALOS-PALSAR. ALOS-AVNIR
Aerial Photographs. Landsat TM, Bathymetry data


PAKISTAN
Monitoring Water Cycle Variations & Assessing Climate Change Impacts
Prototyping Title Monitoring Water Cycle Variations and Assessing the Climate Change Impacts
on them in Pakistan
Country / Study Area Pakistan / Whole of Pakistan, Indus river basin
Executor
 Local member
Pakistan Meteorological Department (PMD)
Water Resources Research Institute
Background

Pakistan is an arid to semi-arid country lies in the subtropical region of the world, with a humid belt along the sub-mountainous region of the Northwestern Himalayas in the North and a large hyper-arid area in the Southwestern Balochistan province. Drought is one of the major disasters happened in Pakistan. The mountainous region of the Upper Indus Basin is a critical source of water for Pakistan. Most flow in the upper Indus is derived from the snow- and glacier- accumulation and melting, which depend on the previous winter and the following summer climate conditions, respectively.

Climate change impacts on the variations of dry-wet and snow-glacier environments in Pakistan were observed partly. The IPCC 4th Assessment Report predicted the considerable impacts in the context of the global assessment but not of the regional one. Regional and national assessments are strongly requested scientifically and socio-economically.

Objective To enforce observation, understanding, and assessment capabilities of the water cycle variability associated with the climate change, this project develops;
1) Drought monitoring capability in Pakistan by coupling a satellite-based land data assimilation, in-situ observations and a distributed hydrological model;
2) Flood monitoring capability in Pakistan by coupling satellite and in-situ observations and a distributed hydrological model;
3) Simulation capability of snow- and glacier- melt in the Upper Indus River based a distributed hydrological model coupled with an integrated snow scheme, satellite and in-situ observations, and numerical weather prediction model outputs;
4) Climate change impact assessment capability of drought, flood and snow- and glacier- induced river flow in Pakistan by using integrated climate prediction model outputs.
Estimated benefits Expected scientific benefits:
1) Improvement of understanding of the drought process and its mechanism in Pakistan.
2) Improvement of understanding and snow and glacier change process quantitatively in Pakistan.
3) Improve understanding of the atmosphere-land interaction in semi-arid area.
4) Transferability and applicability of satellite algorithms, WEB-DHM, LDAS-UT and drought indices.
Expected societal benefits:
1) Near-real time drought monitoring capability.
2) Near-real time snow- and glacier melt runoff monitoring capability.
3) Usable information for climate change adaptation.
Overview of the activity
1. Drought monitoring system development using Distributed Model, Data Assimilation and establishing a Monitoring System
2. Flood related studies will be carried out using appropriate Algorithm and Distributed Model, down scaling etc.
3. Snow- & Glacier- Melting work will be carried out using Distributed Model and Mass Balance Model
4. Climate Change Assessment is one of the overall goal and this will be done identifying a suitable Model for Hydrological Prediction and Assessment
Technical Supporter,
Data & Application Provider
The University of Tokyo (UT)
UT: (1) Land Data Assimilation System (LDAS-UT) by using AMSR-E, provided by JAXA, for estimating soil moisture and evapo-transpiration; (2) Distributed Hydrological Model (WEB-DHM) for analyzing and monitoring of drought and for calculating snow fall, accumulation and melting; (3) Integrated Drought Assessment System ;(4) Data Integration and Analysis System (DIAS) for the climate prediction model outputs.
JAXA: (1) AMSR-E for the land-data assimilation; (2) GsMAP and TRMM PR/TMR for the rainfall observation; (3) PALSAR for the soil moisture observation; (4) AVNIR2 and MODIS for the land-use, snow cover and glacier observation.
PMD: (1) operational meteorological observation data including soil moisture and temperature data; (2) research-oriented snowfall, snowmelt and glacier-melt observation data.
PARC: (1) local information of agricultural activities and water use; (2) research-oriented hydrological observation data..
- Satellite data
 / Data product
1) AMSR-E for the land-data assimilation
2) GsMAP and TRMM PR/TMR for the rainfall observation
3) PALSAR for the soil moisture observation
4) AVNIR2 and MODIS for the land-use, snow cover and glacier observation.


SRI LANKA
Modeling ocean frontal zones using high resolution satellite and float data to locate tune fish aggregations
Prototyping Title Modeling ocean frontal zones using satellite and float data to locate tuna fish aggregations in Sri Lankan waters
Country / Study Area Sri Lanka / Indian Ocean
Executor
 Local member
National Aquatic Resources Research & Dev. Agency, Sri Lanka (NARA)
Background

NARA, the National Aquatic Resources Research and Development Agency, the research arm of the Ministry of fisheries in Sri Lanka has been working on developing a fishery forecasting system for Yellowfin tuna fishery for Sri Lankan long-liners. Low resolution satellite data such as AMSR-E SST (48 km), 4 km MODIS Chlorophyll and TOPEX/Poseidon altimeter sea surface height (48 km) and fishery data were used to determine favorable environmental parameters for Yellowfin tuna.

In 2008, a fishery forecasting system for yellowfin tuna was developed based on catch records and satellite derived oceanographic data from 2006–2007. The oceanographic parameters such as sea surface temperature, sea surface chlorophyll concentration and dynamic sea surface heights were used. The forecasting system was tested in 2008/09 and showed encouraging results.

However, The limiting factor of low resolution satellite data unable to locate accurate boundaries of frontal zones where most fish aggregates can be found. Low resolution gridded (1/3o) AMSR-E data have been used by interpolating (Kriging) to high resolution grids to visualize the frontal zones. However the interpolating techniques do not generate exact locations of frontal zones and the accuracy is depend on the resolution of data used. Another limitation of locating frontal zones is that the existing low surface temperature gradients that is true in the tropical oceans. Therefore, high resolution satellite data play an important role in locating frontal zones around Sri Lanka.

SST and vertical temperature profiles (satellite and Argo data) can be used to model thermal fronts in 3D space. Fishery data from Sri Lankan long-liners can be incorporate to investigate the fishing potential in thermal fronts.

Objective
1. To model a development of thermal fronts using sea surface temperature, vertical temperature profiles and surface wind data.
2. Study the potential occurrence of fish aggregation on thermal fronts.
3. Use the frontal information on the existing fishery forecasting system for Sri Lankan tuna fishery.
Estimated benefits
1. Study the frontal movements of Indian Ocean and its relation to fish aggregations.
2. Improve the fishery forecasting methodology of Sri Lanka
3. Knowledge sharing with other SAFE members
4. Enhancing relationships between GIC/AIT, EORC/JAXA and NARA.
Overview of the activity
1. Near real-time Satellite data processing for SST, CHL and incorporate Argo for modeling frontal zones which is able to locate fishing grounds.
2. Fishing ground information dissemination to long-line fleets
3. Exchanging knowledge and experiences among GIC/AIT, EORC/JAXA and NARA
Technical Supporter,
Data & Application Provider
National Research Institute of Far Seas Fisheries, Japan (NRIFSS)
GIC/AIT
- Satellite data
 / Data product
EOS AMSR-E/ Sea surface Temperature (SST)
MODIS/ Sea Surface Height (SSH), Chlorophyll (CHL), Fish Vessel Data, Buoy Data


THAILAND
Economic Fish Larvae Mapping and Monitoring
Prototyping Title Economic Fish Larvae Mapping and Monitoring in the gulf of Thailand
Country / Study Area Thailand / Gulf of Thailand
Executor
 Local member
Marine Fisheries Research and Development Bureau, Thailand Department of Fisheries
National Fisheries Association Thailand
Background

Department of Fisheries of Thailand has applied satellite data with advanced GIS and GPS in aquaculture and fisheries planning and management.

DOF owns five research vessels for operating in Thai waters and two others in the High Sea. These vessels equipped with VPS (Vessel Positioning System; VPS) with Sea Surface Temperature Sensor and collecting data on nutrients (eg. NH3, NO2, NO3 and PO4), water Quality (e.g., SST, Salinity, DO and pH) and amount of fish larvae. These measurements are taken 4 times per year.

This frequency is insufficient as ocean changes are more rapid and dynamic. Therefore, it will be extremely useful if satellite data can complement these observations to produce larvae distribution maps at any time of the year.

At present, with the data available from fishing vessels larvae distribution is interpolated in controlling fishing ground for certain time of the year to protect and management fish larvae. If it is possible to use satellite data for estimate related parameters to larvae, then it is possible to provide more accurate distribution maps of fish larvae, helping sustainable fishing industry of Thailand.

Objective
1. Establishing relationship of fish larvae and ocean environmental parameters observed from research vessels,
2. Establishing relationships between SST, chlorophyll and salinity between vessel data and satellite data, primarily MODIS data,
3. Develop a model based on the results of 2 & 3 above, and
4. Applying the results into fisheries conservation planning process at DOF.
Estimated benefits
1. Illustrating the use of satellite data for improving fisheries conservation planning for sustainable fisheries management in Thailand.
2. Improving current knowledge on fish larvae distribution, particularly in facing climate change situation.
3. Educating marine fisheries scientists of DOF.
Overview of the activity
1. Extracting ground survey data in the past five years (4 times collected a year) for establishing statistical relationships between fish larvae distribution and ocean environment and statistical analysis.
2. Planning and Collecting appropriate satellite data (near-real time) coincided with DOF research vessels for developing fundamental algorithm for detecting ocean color, chlorophyll and SST. The main satellite sensor will be MODIS given the easy accessibility of continuity. But investigation of other satellite data including SeaWiFS will try out to see the suitability of various spectral bands.
3. Establishing relationships of certain ocean environment (e.g. SST, chlorophyll) between ground data and satellite data, primarily MODIS within the data framework in 1.
4. Applying the results into fisheries conservation planning process at DOF.
5. Exchanging knowledge and experiences among KU, GIC/AIT, EORC/JAXA and DOF.
Technical Supporter,
Data & Application Provider
Kyoto University
GIC/AIT
- Satellite data
 / Data product
MODIS / SST, Chlorophyll, Research Vessel Data


VIETNAM
Mangrove Forest Mapping and Carbon Stock Estimation
Prototyping Title Carbon stock calculating and forest change assessment towards REDD+ activities for the mangrove forest in Vietnam
Country / Study Area Vietnam / Quang Ninh province and Can Gio nature reserve
Executor
 Local member
Forest Inventory and Planning Institute (FIPI), Vietnam
Forest Resources and Environment Center (FREC), FIPI, MARD, Vietnam
Research Center for Forest Ecology & Environment (RCFEE), MARD, Vietnam
Background

Securing mangrove forest in more secure livelihood of people has been taking place in most of the countries in Asia including Vietnam. Mangrove plantations provide protection for various natural hazard and helps societies combating poverty. Vietnam is house for quite large mangrove forest along its coastal belts and among them Can Gio Biosphere Reserve is a wetland located 40 km southeast of Ho Chi Minh City. This reserve has been listed the biosphere reserve by UNESCO. The site is an important wildlife sanctuary in Vietnam as it is characterized by a wetland bio-system dominated by mangrove and many rare species. The mangrove forest at Can Gio performs many valuable ecological functions, including coastal stabilization, and protection against coastal erosion, oil spills and storm surges. The mangrove forest is a source of fuel wood and construction materials

Objective
1) To produce and provide data on mangrove forest at the period of 1990, 2000 and 2010
2) To assess mangrove forest changes from 1990
3) To determine the method for Carbon Stock calculating for mangrove forest types in Vietnam
4) To provide the basic data on Carbon stock volume of mangrove forest and its change which will be used as the input data for REL calculation in Vietnam
Estimated benefits Research on the mangrove forest change assessment and carbon stock estimation for this type of forest will be carried out in order to provide basic data for assessing the full value of all mangrove forest types in Viet Nam. The estimated outputs are:

Maps
- Mangrove forest maps of Quang Ninh in 1990 , 2000 and 2010
- Biomass maps of Quang Ninh in 1990 , 2000 and 2010
- Carbon Stock maps of Quang Ninh in 1990 , 2000 and 2010
Data
- Area data for each mangrove forest type in Quang Ninh in 1990, 2000 and 2010.
- Stock volume for each mangrove forest type in Quang Ninh in 1990, 2000 and 2010.
- Data on Forest change through the years
- Data on carbon stock for each mangrove forest types
Carbon estimation equations
- Biomass expansion factor for each mangrove forest types
Overview of the activity Mangrove forest mapping
- Collecting the Auxiliary maps created around 1990, 2000 and 2010
- Collecting Landsat and ALOS AVNIR-2 images acquired around 1990, 2000 and 2010
- Collecting Topographical maps
- Images preprocessing
- Images classification.
- Verifying the quality of mangrove forest maps created by images classification.
- Compiling final mangrove map
- Area calculating for each type of mangrove forests

Forest Stock volume calculating
- Designing sample plot
- Sample plot measurement (LiDAR technique is suggested for volume calculation)
- Data processing to calculate mean value of stock volume for each mangrove forest type based on AVNIR-2 PALSAR polarimetric measurements
- Calculating total stock volume for each period.
- Converting to Biomass

Forest changes assessment
- Overlaying maps
- Assessing the changes of forest area – Deforestation and Forest degradation
- Identifying and analyzing the causes of forest changes

Carbon stock estimation for each mangrove forest types

Using direct method (Sample plot measurement and Laboratory analysis of dry weight, soil carbon content, soil bulk density) for:
- Estimation of above ground carbon stock:
- Estimation of underground carbon stock
- Estimation of carbon stock in dead matter
- Estimation of soil carbon stock
Developing the Biomass expansion factor for each mangrove forest types (species)
Estimation of change in Carbon stock
Estimation of change in Carbon stock in living biomass (increase and Decrease) (Stock change method can be applied)
- Calculating annual increase in carbon stock due to Biomass Increment in mangrove forest remaining mangrove forest
- Calculating annual Decrease in Carbon Stocks Due to Biomass Loss in mangrove forest remaining mangrove forest:
- Estimating annual carbon loss due to fuel wood gathering
- Estimate annual carbon loss due to other losses
Technical Supporter,
Data & Application Provider
University of Tokyo (IIS/UT)
- Satellite data
 / Data product
Landsat / ETM
ALOS / AVNIR-2, PALSAR


SRI LANKA
Mapping and Detecting Wetlands in River Basin
Prototyping Title Mapping and change detection of wetlands in South Eastern River Basin Region in Sri Lanka using Optical and PALSAR remote sensing
Country / Study Area South Eastern River Basin Region in Sri Lanka
Executor
 Local member
Geo-Informatics Unit, Central Environmental Authority
Background

Healthy wetland ecosystems have a wide range of functions such as : climate regulation - carbon cycling; absorption of toxins; flood control/erosion reduction; genetic and biological diversity; provide a critical refuge and breeding ground for many species ;often contain a high diversity of species ; maintain groundwater levels ; and play a large role in water purification (particularly in urban and agricultural areas) .

As many wetland ecosystems in Sri Lanka have been and, to a large extent still are, indiscriminately exploited for a commercial, agricultural , residential and industrial development and dumping of waste. As such many wetlands are under threat. There is a data gap between wetland ecosystems in the North and Eastern part of the country due to the civil conflict during the past three decade .Also, currently Eastern River Basin Region in Sri Lanka is becoming a highly urbanizing area which leads to more threat to wetland ecosystems. Therefore, it must need to take immediate action to protect important wetlands under the National Environment Act of Sri Lanka. To fulfill above task, mapping and change detection of wetland in the selected region is a key requirement. To use of satellite images and previous aerial photographs along with the remote sensing and GIS techniques will be the tool for this project.

Objective Identification of important wetland in the Eastern River Basin Region in Sri Lanka to declare as environmental protection areas under the National Environmental Act.
Estimated benefits
  1. Conservation for biological diversity while protecting endangered fauna and mangrove Species
  2. Increase the absorption of carbon dioxide and carbon recycling to contribute reduction of global warming
  3. Increase the productivity of the particular wetlands Improve the awareness of value of the wetlands
  4. To reduce the cumulative impacts of the agrochemicals in the wetlands
  5. To reduce the population and agricultural pressures on wetlands
  6. To reduction of flood and erosion risk
Overview of the activity Current status and previous extent, conditions of the wetlands will be identified by using past and new satellite images. According to the GIS and RS techniques updated land cover map will be developed for each wetland systems. During the survey, information and data will be collected through the questionnaire survey with the participation of people those who are living around the wetland ecosystems to identify the threats and benefits. Then collected data and information incorporated with the updated maps and ranking the wetlands will be done by the National Wetland Steering Committee.
Technical Supporter,
Data & Application Provider
University of Tokyo
Asian Institute Technology/GIC
Japan Aerospace Explanation Agency
- Satellite data
 / Data product
ALOS data (Archive)
ALOS-2
< Last Update: 20 Dec 2011 >