Yann Chemin
International Water Management Institute, Rainfed Systems, Department Member
- University of Moratuwa, Sri Lanka, Architecture, Department Memberadd
This textbook aims at expanding basics of GIS programming for Vector, Database and Raster. It should be taken as an overview more than an thorough material, and by no mean dealing with all of the subject. After going through this book,... more
This textbook aims at expanding basics of GIS programming for Vector, Database and Raster. It should be taken as an overview more than an thorough material, and by no mean dealing with all of the subject. After going through this book, the reader will be able to have a basic knowledge of the technology available for GIS data programming, and a good practical hand on most common ways to investigate them.
Research Interests:
Programming starter book for remote sensing raster processing. Includes full public domain code with explanations for GDAL API (C, python, OpenMP, MPI-C, CUDA, OpenCL, WxPython), C for GRASS GIS, pyGRASS and R (using raster package).... more
Programming starter book for remote sensing raster processing. Includes full public domain code with explanations for GDAL API (C, python, OpenMP, MPI-C, CUDA, OpenCL, WxPython), C for GRASS GIS, pyGRASS and R (using raster package).
3rd edition full colour code highlighting.
3rd edition full colour code highlighting.
Research Interests: Remote Sensing, R programming language, Compute Unified Device Architecture NVIDIA CUDA, MPI, OpenMP, and 14 moreC, MPI, OpenCL, GRASS GIS, parallel programming, MPI, Raster analysis, Parallel programming with MPI, Langage C, Open MPI, C Languague, Parallel Computing Mpi, GDAL, Wxpython, pyGRASS, and GRASS Python
Monitoring of water and land objects enters a revolutionary age with the rise of ubiquitous remote sensing and public access. Earth monitoring satellites permit detailed, descriptive, quantitative, holistic, standardized, global... more
Monitoring of water and land objects enters a revolutionary age with the rise of ubiquitous remote sensing and public access. Earth monitoring satellites permit detailed, descriptive, quantitative, holistic, standardized, global evaluation of the state of the Earth skin in a manner that our actual Earthen civilization has never been able to before. The water monitoring topics covered in this book include the remote sensing of open water bodies, wetlands and small lakes, snow depth and underwater seagrass, along with a variety of remote sensing techniques, platforms, and sensors. The Earth monitoring topics include geomorphology, land cover in arid climate, and disaster assessment after a tsunami. Finally, advanced topics of remote sensing covers atmosphere analysis with GNSS signals, earthquake visual monitoring, and fundamental analyses of laser reflectometry in the atmosphere medium.
Research Interests:
Research Interests:
Availability of rainfall time-series is limited in many parts of the World, and the continuity of such records is variable. This research endeavors to extend actual daily rainfall observations to ungauged areas, taking into account events... more
Availability of rainfall time-series is limited in many parts of the World, and the continuity of such records is variable. This research endeavors to extend actual daily rainfall observations to ungauged areas, taking into account events of rainfall as well as cumulative total daily rainfall, over a period of 11 years. Results show that rainfall events histograms can be reconstructed, and that total cumulative rainfall is estimated with 85% accuracy, using a surrounding network of rain gauges at 30-50 Km of distance from the point of study. This research can strengthen various types of research and applications such as ungauged basins research, regional climate modeling, food security early warning systems, agricultural insurance systems, etc.
Research Interests:
The rainwater harvesting network is in need of volumetric estimation of rainfall-runoff contributed torecharge of the aquifers. Regular reporting of high quality rainfall events and intensity is still a challengeto be addressed in Sri... more
The rainwater harvesting network is in need of volumetric estimation of rainfall-runoff contributed torecharge of the aquifers. Regular reporting of high quality rainfall events and intensity is still a challengeto be addressed in Sri Lanka. A combination of Open Source Hardware (OSHW) and Free & Open Source Software (FOSS) is being used to created a royalty-free cheap raingauge design with full control of on-board data collection andstatistics. Actual state-of-development has gone through the generic weather station prototype delivery to Irrigation Department for tank management and is in testing phase. A local manufacturer has delivered an all-in-one integrated board based on the prototype provided. Local manufacture of the sensors (tipping-bucket and other wind sensors) is under experimentation.
Research Interests: Open Source Software, Sri Lanka, Rainwater Harvesting, Sustainable Water Resources Management, Water Resources Management, and 13 moreOpen Design, Integrated Water Resources Management, Irrigation water Management, Arduino, Water Management, Ground Water & Rainwater Harvesting, Rain Water Harvesting, Open Source Hardware, Weather stations, Open-Source Hardware, Electronic Weather Station, Mini Weather Station, and Rain Gauges
Rice submergence is the condition by which the water level rises above the rice crop canopy. In general, rice plant response to submergence is to elongate its shoots above the rising water level. This costs in energy and eventually has a... more
Rice submergence is the condition by which the water level rises above the rice crop canopy. In general, rice plant response to submergence is to elongate its shoots above the rising water level. This costs in energy and eventually has a direct impact in terms of reducing yields. A specific gene, called Sub1, when introgressed into popular rice varieties by Marker Assisted Back-crossing, nearly stops the natural elongation process and permits a given local rice variety to sustain submerged conditions for a generally recognized period of about 2 weeks. Plant breeders now look for well-identified and location-accurate submergence areas in order to disseminate such improved local rice varieties. Remote sensing is proposed to provide surface water maps at high temporal resolution, determining a percentage of occurrences of surface water for a given pixel. Occurrence is defined as the count of days of identified surface water within a given period, returned in a percentage on that period. Rice area maps and knowledge of crop calendars are proposed to add to the assessment of submergence prone areas in the Northeastern Thailand.
Research Interests: Earth Sciences, Environmental Science, Geophysics, Remote Sensing, Climate Change, and 15 moreHydrology, Meteorology, Thailand, Flood Mitigation, Flood Forecasting, MODIS, Rice, Lightning, Submergence, Rice Salt and Submergence Tolerance, Occurrence, Isarn, Northeastern Thailand, Terra-MODIS, and Ubon Ratchathani
Research Interests: Flood Mitigation, Flooding, Hydrology, Floods, Hydrological Modelling, Hydraulics, Sediment Transport, Fish Habitat, Soil and Water Assesment Tool (SWAT), Riparian vegetation, and 13 moreRiparian Zones, Terraces, Terraces landscapes, Riparian Restoration, Riparian Buffer, Riparian Management, Agricultural Terraces, Best management practice, SWAT Model, Management Best Practises, Flood Mangement, WATERSHED MODELLING USING SWAT SOFTWARE, and Best Management Practices
Despite being necessary for effective water management, the assessment of an irrigation system requires a large amount of input data for the estimation of related parameters and indicators, which are seldom mea- sured in a regular and... more
Despite being necessary for effective water
management, the assessment of an irrigation system
requires a large amount of input data for the estimation of
related parameters and indicators, which are seldom mea-
sured in a regular and reliable manner. In this work, spa-
tially distributed surface energy balance fluxes and
geographical information systems analysis of multiple
groundwater parameters were used to estimate water
availability, supply, and demand, in order to calculate
water-accounting indicators. This methodology was used to
evaluate the performance of an irrigation system in the Pinios river basin (Greece) at two selected years of high
and low water availability. Time series of archived satellite
images and groundwater measurements have been used for
past years to support comparative analyses, due to the
limited availability of actual water measurements. The
resulting maps from the proposed methodology show that
the performance of the irrigation system varied across
space and time due to differences in its characteristics and
changes in its operation, driven by fluctuation of water
availability and the response of stakeholders to water
depletion. Irrigation districts with unsustainable water
management were identified and, together with those with
slow and/or limited groundwater recharge, were brought to
the attention of water managers. The observed differences
in the system operation between the wet and dry years were
attributed not only to the hydrological conditions of each
year, but also to the changing behaviour of farmers and the
improvement actions of the water managers.
management, the assessment of an irrigation system
requires a large amount of input data for the estimation of
related parameters and indicators, which are seldom mea-
sured in a regular and reliable manner. In this work, spa-
tially distributed surface energy balance fluxes and
geographical information systems analysis of multiple
groundwater parameters were used to estimate water
availability, supply, and demand, in order to calculate
water-accounting indicators. This methodology was used to
evaluate the performance of an irrigation system in the Pinios river basin (Greece) at two selected years of high
and low water availability. Time series of archived satellite
images and groundwater measurements have been used for
past years to support comparative analyses, due to the
limited availability of actual water measurements. The
resulting maps from the proposed methodology show that
the performance of the irrigation system varied across
space and time due to differences in its characteristics and
changes in its operation, driven by fluctuation of water
availability and the response of stakeholders to water
depletion. Irrigation districts with unsustainable water
management were identified and, together with those with
slow and/or limited groundwater recharge, were brought to
the attention of water managers. The observed differences
in the system operation between the wet and dry years were
attributed not only to the hydrological conditions of each
year, but also to the changing behaviour of farmers and the
improvement actions of the water managers.
Research Interests:
Research Interests:
Research Interests:
ABSTRACT Agricultural monitoring is necessary for efficient food security management at country level. The near real time monitoring or prediction on crop growth in terms of planting date, acreage, planting intensity, water stress,... more
ABSTRACT Agricultural monitoring is necessary for efficient food security management at country level. The near real time monitoring or prediction on crop growth in terms of planting date, acreage, planting intensity, water stress, biomass, yield and etc. is important. It can contribute to better policymaking, timely countermeasures, optimization of water resources distributions, damage assessment and finally to food supply security and stable market.
Materials and methods Study area The Upper Pampanga River Integrated Irrigation System (UPRIIS) in Central Luzon (Fig. 1), Philippines, covers an area of 102,000 ha and is divided into four districts. It gets its water from a combination... more
Materials and methods Study area The Upper Pampanga River Integrated Irrigation System (UPRIIS) in Central Luzon (Fig. 1), Philippines, covers an area of 102,000 ha and is divided into four districts. It gets its water from a combination of various run-of-the-river flows and the Pantabangan reservoir. There is a dry season from November to April and a wet season from May to October. The average annual rainfall is about 1,900 mm, of which 90% falls in the wet season (Tabbal et al 2002).
ABSTRACT Satellite derived estimates of actual evapotranspiration over large areas has become popular in water balance studies since 1990. It is practically impossible to get well-distributed cloud free images over the entire cropping... more
ABSTRACT Satellite derived estimates of actual evapotranspiration over large areas has become popular in water balance studies since 1990. It is practically impossible to get well-distributed cloud free images over the entire cropping season from one sensor in the tropical countries like the Philippine. This limitation can be overcome with the combination of high-spatial resolution of Landsat, and Terra/Aster images with the high temporal resolution of Terra/Modis images in the tropical climate.
ABSTRACT Estimating agricultural water use is an issue of primary importance in the Mediterranean. At the same time, several advanced algorithms have been developed, which couple Earth Observation data in thermal, visible and... more
ABSTRACT Estimating agricultural water use is an issue of primary importance in the Mediterranean. At the same time, several advanced algorithms have been developed, which couple Earth Observation data in thermal, visible and near-infrared wavelengths with a few meteorological measurements to provide a close approximation to the actual water use.
Crop Assimilation Model (CAM) predicts the parameters of agrohydrological models with satellite images. CAM with double layers GA called CAM-DLGA, uses Soil-Water-Atmosphere-Plant (SWAP) agro-hydrological model and Genetic Algorithm (GA)... more
Crop Assimilation Model (CAM) predicts the parameters of agrohydrological models with satellite images. CAM with double layers GA called CAM-DLGA, uses Soil-Water-Atmosphere-Plant (SWAP) agro-hydrological model and Genetic Algorithm (GA) to estimate inversely the model parameters. In CAM-DLGA, initially the GA parameters are required to set in advanced, and this replicates an evolutionary searching issue. In this paper, we are presenting a new methodology to use Parameter-Less GA (PLGA), so that the GA initial parameters will be generated and assigned automatically. Numerous experiments have been accomplished to analyze the performance of the proposed model. Additionally, the effectiveness of PLGA on the assimilation has been traced on both synthetic and real satellite data. The experimental study proved that the PLGA approach provides relatively better result on the assimilation.
Estimation of crop water deficit continues to be challenging especially when attempting to evaluate it at large areas. The limitation of cloud free images availability can be overcome with the combination of high-spatial and temporal... more
Estimation of crop water deficit continues to be challenging especially when attempting to evaluate it at large areas. The limitation of cloud free images availability can be overcome with the combination of high-spatial and temporal resolution images in the tropical climate. In this study, Landsat 7 & MODIS satellites Image on the same overpass date was selected on May 18, 2001 in the dry season 2001. Comparing positively the results of Modis, and Landsat 7 ETM+ sensors for water consumption studies at different scales In Irrigation system would enable better decision-making for located crop water requirement. The Surface Energy Balance Algorithm for Land (SEBAL) has been applied to Landsat 7 ETM+, and MODIS sensors for the estimation of crop water requirement In District I of the Upper Purnapanga River Integrated Irrigation System (UPRIIS) In Central Luzon of Philippines. The actual evapotranspiration was integrated for 24 hours on pixel-by-pixel basis from the Instantaneous evapotranpiration (ET). This paper shows a unique combination of derived ETa from Landsat and the MODIS images for water consumption studies In District 1. Volumes of water consumption and deficit were compared at different pixel sizes. The results were compared with the evapotranspiration calculations at two meteorological stations In District 1 of UPRIIS. The discussion provides the research orientation of the scale assessment of evaporation and further Implications In applied research for water management aided by satellite Images.
Water resources planning depends on the physical environments, notably on the vegetation and hydrological conditions in river basins. Vegetation growth—both natural and human induced—has a strong dynamic behavior which, especially at... more
Water resources planning depends on the physical environments, notably on the vegetation and hydrological conditions in river basins. Vegetation growth—both natural and human induced—has a strong dynamic behavior which, especially at larger scales, is difficult to survey in the field. Low cost imagery from the NOAA–AVHRR satellite provides new opportunities to estimate vegetation development and biomass production. Composite maps of biomass production were compiled as the primary basis to establish a growth zone classification. A total of 92 vegetation growth zones were delineated by visual interpretation. Digital vector maps of land use and soil type, as well as digital raster maps of moisture availability index, soil moisture and actual evapotranspiration have been explored to describe vegetation growth zones from satellite data. These vegetation growth zones will contribute more to water resources planning than existing agro-ecological zonations and land use mapping, because vegetation growth is based on the environment and has strong linkages with the hydrological processes occurring in different parts of the basin. It provides a vehicle to relate water demand and water use in river basins to various types of vegetation.
Research Interests:
Research Interests:
Research Interests:
Research Interests:
Titan (Saturn VI) is the largest of Saturn’s natural satellites, it is a cold rocky moon with a visible cloudy atmosphere, about 1.5 times the diameter of the Moon and 80% more massive. It has a high content of surface and atmospheric... more
Titan (Saturn VI) is the largest of Saturn’s natural satellites, it is a cold rocky moon with a visible cloudy atmosphere, about 1.5 times the diameter of the Moon and 80% more massive. It has a high content of
surface and atmospheric hydrocarbon hovering around their triple phase temperature range (solid, liquid, gas).
Though most probably the hydrocarbon is methane (CH4 ) of solar system origins [25] & [21], [9] considers that some of their analysis has found ethane (C2 H6) rainfall, confirming early work by [20] from the Voyager 1 radio occultation experiment. Thus the naming used in this study for the cycle of hydrocarbons is (m)ethanological.
More generic, [8] considers the dynamics and cycling of hydrocarbons on Titan to be ”Titan’s alkanology”.
surface and atmospheric hydrocarbon hovering around their triple phase temperature range (solid, liquid, gas).
Though most probably the hydrocarbon is methane (CH4 ) of solar system origins [25] & [21], [9] considers that some of their analysis has found ethane (C2 H6) rainfall, confirming early work by [20] from the Voyager 1 radio occultation experiment. Thus the naming used in this study for the cycle of hydrocarbons is (m)ethanological.
More generic, [8] considers the dynamics and cycling of hydrocarbons on Titan to be ”Titan’s alkanology”.
Research Interests:
How OSHW is the natural extension of FOSS in GIS research ?
Some examples
Some examples
Research Interests:
Distributed BIG Data processing of evapotranspiration from MODIS data
Research Interests:
EGU 2013 presentation on GRASS7 for benchmarking evapotranspiration with distributed computing
Research Interests:
Image Processing modules in GRASS7
Research Interests:
Titan (Saturn VI) is the largest of Saturn’s natural satellites, it is a cold rocky moon with a visible cloudy atmosphere, about 1.5 times the diameter of the Moon and 80% more massive. It has a high content of surface and atmospheric... more
Titan (Saturn VI) is the largest of Saturn’s natural satellites, it is a cold rocky moon with a visible cloudy atmosphere, about 1.5 times the diameter of the Moon and 80% more massive. It has a high content of surface and atmospheric hydrocarbon hovering around their triple phase temperature range (solid, liquid, gas).
Though most probably the hydrocarbon is methane (CH4 ) of solar system origins [25] & [21], [9] considers that some of their analysis has found ethane (C2 H6) rainfall, confirming early work by [20] from the Voyager 1 radio occultation experiment. Thus the naming used in this study for the cycle of hydrocarbons is (m)ethanological.
More generic, [8] considers the dynamics and cycling of hydrocarbons on Titan to be ”Titan’s alkanology”.
Though most probably the hydrocarbon is methane (CH4 ) of solar system origins [25] & [21], [9] considers that some of their analysis has found ethane (C2 H6) rainfall, confirming early work by [20] from the Voyager 1 radio occultation experiment. Thus the naming used in this study for the cycle of hydrocarbons is (m)ethanological.
More generic, [8] considers the dynamics and cycling of hydrocarbons on Titan to be ”Titan’s alkanology”.