tracking the adoption and impact of rainwater harvesting structures in watershed development

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The use of remote sensing, GPS and GIS as tools to understand tracking the adoption of NRM technologies such as RHS, provides a spatial dimension to the method. Remotely sensed imagery provides temporal spatial information on the change dynamics of LULC an important characteristic variable which depends on the adoption of RHS. A ground information collection mission for LULC mapping provides first-hand information of the cropping pattern and also facilitates interaction with the village level extension officers and farmers. Global Positioning System (GPS) instrument is used to collect the location coordinates of the RHS which is the most economical when compared to using remote sensing imagery. It is also constrained by the spatial resolution of the remote sensing imagery and cloud cover during the rainy season when it is the ideal time. Whereas the very high resolution imagery (GeoEye) becomes very costly to identify a RHS and can also be contaminated by cloud cover, it yields similar information on LULC for higher cost than the normal resolution imagery (LANDSAT, IRS LISS IV etc) which is very economical. An integration of two sources of information from the ground using GPS and farmer interviews along with spatial information on LULC using remote sensing imagery will not only track the adoption of RHS but also provides the impact of adoption of this technology. It can also be said that this method of using spatial information along with ground information will make it easier to scale up and scale out such methods over larger domains. Base maps (Drainage, watershed and settlements) Monitoring rainwater harvesting structures Use of open datasets such as SRTM DEM (90m) to delineate and do basic morphometric analysis Use of IRS-LISS IV, Landsat imagery and MODIS were used to prepare Land use/ Landover (LULC) maps and changes in LULC during selected years. Data on source of irrigation before and after adoption of RHS identifies the relationship between RHS adoption and availability of groundwater for irrigation. Analyze and understand the reasons for adoption and inturn impact of adoption as a result of LULC changes. Impact of rainwater harvesting structures RS-GIS unit, RDS

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Page 1: Tracking the adoption and impact of rainwater harvesting structures in watershed development

The use of remote sensing, GPS and GIS as tools to understand tracking the adoption of NRM technologies such as RHS, provides a spatial

dimension to the method. Remotely sensed imagery provides temporal spatial information on the change dynamics of LULC an important characteristic

variable which depends on the adoption of RHS. A ground information collection mission for LULC mapping provides first-hand information of the

cropping pattern and also facilitates interaction with the village level extension officers and farmers. Global Positioning System (GPS) instrument is

used to collect the location coordinates of the RHS which is the most economical when compared to using remote sensing imagery. It is also

constrained by the spatial resolution of the remote sensing imagery and cloud cover during the rainy season when it is the ideal time. Whereas the very

high resolution imagery (GeoEye) becomes very costly to identify a RHS and can also be contaminated by cloud cover, it yields similar information on

LULC for higher cost than the normal resolution imagery (LANDSAT, IRS LISS IV etc) which is very economical.

An integration of two sources of information from the ground using GPS and farmer interviews along with spatial information on LULC using remote

sensing imagery will not only track the adoption of RHS but also provides the impact of adoption of this technology. It can also be said that this method

of using spatial information along with ground information will make it easier to scale up and scale out such methods over larger domains.

Base maps (Drainage, watershed

and settlements) Monitoring rainwater harvesting structures

• Use of open datasets such as SRTM DEM (90m) to

delineate and do basic morphometric analysis

• Use of IRS-LISS IV, Landsat imagery and MODIS

were used to prepare Land use/ Landover (LULC)

maps and changes in LULC during selected years.

• Data on source of irrigation before and after

adoption of RHS identifies the relationship between

RHS adoption and availability of groundwater for

irrigation.

• Analyze and understand the reasons for adoption

and inturn impact of adoption as a result of LULC

changes.

Impact of rainwater harvesting structures

RS-GIS unit, RDS