Remote Sensing

Remote Sensing and GIS Laboratory was established with the technical coordination of NRSC, Balanagar and was inaugurated on 26-11-2018.  This lab is now functioning at Centre for Digital Agriculture, PJTAU.

The laboratory provides facilities for capacity building of staff and students for use of RS and GIS tools for inventory and management of natural resources for sustainable agriculture. It helps to analyse and evaluate the information regarding application of remote sensing techniques for crop inventory, resource characterization etc. under changing climatic scenarios. As the Agricultural production systems are highly vulnerable to variations in climate, soil and topography of different regions, efficient management of all these factors needs analysis on spatio-temporal basis.  

Timely and reliable information on crop acreage, growth condition and yield estimation can be highly beneficial to the producers, managers and policy planners for taking tactical decisions regarding food security, import/ export and economic impact.

RS & GIS applications in agriculture include

  • Inventory of major crops
  • Crop production estimation
  • Crop condition assessment
  • Performance evaluation of irrigation projects
  • Irrigation infrastructure mapping and assessment of created irrigation potential
  • Ground water quality mapping
  • Soil survey & Classification (at various scales) etc.

Linkages

  • The PJTAU has established MOU with NRSC, Balanagar, ICRISAT, Patancheru and NAARM, Hyderabad.

    Scientific Faculty

    The RS and GIS laboratory at Centre for Digital Agriculture:

    1. Dr. T. L. Neelima, Sr. Scientist (Agronomy) : Optical, SAR and Hyperspectral Remote Sensing, Irrigation performance assessment using RS & GIS,

    Software’s available with WTC

    1. Commercial software’s: ERDAS imagine (6 no), iGIS (10 no), Arc GIS (1 no), Gram+ (10 no)
    2. Mapp Enterprise (Apollo Web geo spatial server)
    3. Open software: Q – GIS, ILWIS

    Projects Executed related to RS and GIS 

    • Indo US-Agricultural Knowledge Initiative (AKI) Project on “Sustainable Water Resources Management” at Kothakunta sub watershed, Wargal, Medak district
    • Irrigation performance assessment of NSP left bank canal and Jurala Irrigation project.
    •  Impact of Musi waste water irrigation on soil quality, crop performance and management in Musi river basin.
    • Ground water Quality mapping of Telangana state etc.,
    • Maize crop land mapping and monitoring using temporal Microwave and Optical Remote Sensing data in Siddipet dist. of Telangana.
    • Soybean crop land mapping and monitoring using temporal Microwave and Optical Remote Sensing data in Nizamabad dist. of Telangana.
    • Integration of Remote sensing and Crop Simulation Model for Nitrogen and Water Stress Management in Maize
    • Soil and irrigation water quality status in some selected districts of Kaleswaram project area of Telangana state. 
    • Impact of Mahatma Gandhi Kalwakurthi Lift Irrigation Project on changes in cropping systems in command area using RS and GIS.
    • Early season agricultural drought assessment using temporal SAR and optical data.
    • Monitoring agriculture land use over Telangana state using geospatial technologies.
    • Discrimination of rice ecosystem and yield estimation using temporal SAR (Synthetic Aperture Radar) and optical RS (Remote Sensing) data in Jogulamba Gadwal district, Telangana.
    • Performance evaluation of a branch of Mahatma Gandhi Kalwakurthy lift irrigation project using remote sensing.
    • Survey on mapping of Brown Plant Hopper, Nilaparvatha lugens (Stal) Incidence in Southern Telangana Zone and Phenotypic, genotyic evaluation of elite rice genotypes for BPH resistance.
    • Identification, Delineation and mapping of salt affected and waterlogged soils in Patancheru and Nagarjuna Sagar Left Bank Canal command area using AVIRIS NG Hyperspectral Data.
    • Survey of Agroforestry area in Khammam district using Remote Sensing and GIS.
    • Survey of Agroforestry area in Warangal district using Remote Sensing and GIS.

    Projects in progress 

    • Development of historical satellite Remote Sensing database for Telangana. 
    • Development and generation of drought indices using real time satellite data. 
    • Area and yield estimation of rice crop using microwave and optical remote sensing data in Nizamabad dist. 
    • Area and yield estimation of cotton crop using microwave and optical remote sensing data in Nalgonda district.
    • Crop area estimation of major crops of Telangana State using Machine learning Algorithms on Microwave and Optical RS data.

    Externally funded Projects

    • NRSC project on Establishment of field stations for measuring ET under NHP
    • Department Project on Preparation of Telangana Agricultural Information System
    • RKVY project on RS and GIS based Cotton and Maize yield estimation for effective crop insurance assessment at Gram Panchayat level
    • Satellite based crop monitoring system for Telangana

           

          • B. Sc (Ag.) year AGRO-303 Practicals 
          • One month Skill Orientation programme for as a part of READY Programme to B.Tech Agricultural Engineering, Kandhi
          • SOILS – 510/SOILS – 509, AWM-507 practical’s courses to PG students.
          • Capacity building to the PG and Ph.D Students working on RS & GIS.
          1. One-day awareness programmes 
          2. Three-day training programmes 
          3. One-week training programmes 
          4. Two weeks training programmes 
          5. Three weeks training programmes (21 days)
          6. Four weeks training programmes (one month)
          7. IIRS Outreach Training Programme

          Concepts / topics for training modules:

          • RS and GIS for sustainable water resources management and precision agriculture.
          • Performance assessment of irrigation projects.
          • Remote sensing and GIS applications in agriculture with special emphasis on 
          • Soil fertility and water quality mapping
          • Land use land cover mapping
          • Crop inventory (acreage estimation, production forecasting, crop condition assessment)
          • Yield variability, yield monitoring and yield mapping
          • GPS survey – concept, utility and delineation of individual farms at village level
          • Thematic data & services of BHUVAN
          Sl.No. Full Name and Designation Department / Discipline Area of Specalization Mail id  Photo
          1 Dr. T.L.Neelima
          Sr. Scientist          		 Agronomy RS and GIS; Irrigation Water Management neelimalakshmi@pjtau.edu.in

          Station In-Charge (Name & Designation):Dr. T.L. Neelima, Sr. Scientist,  RS&GIS Lab, ARI, Rajendranagar, Hyderabad.

          e-Mail Id: rsandgislab@pjtau.edu.in

          Mobile Number : 8332970277

          Impact of Mahatma Gandhi Kalwakurthi Lift Irrigation Project on changes in cropping systems in command area using Remote sensing and GIS

          Image classification performed to analyze the total crop area in Achampeta Branch canal of MGKLI during 2015-16 and 2020-21 revealed that water body increased from 565 to 1705 ha, during kharif agricultural area increased from 2,063 to 21,665 ha and in rabi it showed increase from 366 to 19,621 ha, rice area gradually increased from 0 to 8657 ha.  Similarly, the total crop area in Kalwakurthi Branch canal of MGKLI during 2015-16 and 2020-21 revealed that water body increased from 548 to 3325 ha, during kharif agricultural area increased from 5,721 to 22,510 ha and in rabi it showed increase from 1,287 to 3,955 ha, rice area gradually increased from 0 to 33,344 ha.   

          Mango Inventory and Mapping Using Object Oriented Classification in Kollapur mandal of Nagarkarnool Dist

          Mango Inventory and Mapping Using Object Oriented Classification in Kollapur mandal of Nagarkarnool Dist

          Development and generation of drought indices using real time satellite data

          The Remote sensing based drought indices like NDVI, NDWI, VCI, MAI, SPI etc. were generated for the Telangana state from June to December, 2022. Based on the MAI maps generated it can be analyzed that in Medchal, Nagarkurnool, Rangareddy and Warangal rural the MAI values ranged from 0-25 during the first fortnight of June indicating severe moisture stress and later it showed mild to moderate moisture stress in all the districts by July first fortnight. The MAI was normal (71-100) from July to September for the districts of Telangana. 

          The SPI values during June, July, August, September and October months for all the districts of Telangana ranged from 0 to 2 explaining mildly wet to extremely wet condition in the state during 2021.

          Area and yield estimation of rice crop using microwave and optical remote sensing data in Nizamabad district..

          Rice crop classification for Nizamabad dist. performed using random forest classifier reported 1.72 L ha with and accuracy of 95 % and deviation of – 1.14 % when compared with the rice area reported in official reports 1.74 L ha (Telangana Agriculture portal, Govt. of Telangana).  The rice map generated was used to prepare the rice yield map using RS based semi-physical model and the mandal wise rice yield ranged from 2474 to 3257 kg ha-1.

          Area and yield estimation of cotton crop using microwave and optical remote sensing data in Nalgonda district

          Cotton crop was classified using satellite images for Nalgonda dist. during kharif, 2022.  The total area under cotton crop was classified to be 6,39,238 ha with 90 % accuracy.  The deviation from the DOA statistics was found to be -4.59 %.   During kharif, 2024 total area under rice and cotton crop classified was 1.86 and 1.95 Lakh ha with a deviation of -10.24  & -11.36 % from the official reported statistics (DOA, Govt.TG). 

          Development and generation of drought indices using real time satellite data

          The MAI was severe during the month of June for all the districts of Telangana, however with the onset of monsoon in the first week of July, the MAI varied from mild to moderate for all the districts.  However, Nalgonada, Miryalguda and Jogulamba Gadwal districts experienced severe drought during the last week of June, 2024.

          The SPI generated for Telangana state indicates that, from June to October the index values ranged from -1 to +1 indicating actual rainfall received during 2024 was near to normal RF.

          Training Programme Organized photos