# Remote Sensing and GIS for rural development

- Institution: IIT Bombay
- Department: Civil Engineering
- Teacher: Prof. Pennan Chinnasamy
- Level: Undergraduate
- Language: English
- Subjects: Engineering
- Source: [NPTEL](https://nptel.ac.in/courses/105101221)
- Licence: [CC BY-NC-SA](https://nptel.ac.in/faq) (Non-commercial use only.)
- Syllabus: [at the source](https://nptel.ac.in/courses/105101221)
- Who can watch: Tweens profiles and older (sources give no ratings; placed by Invisible Network from the source's own words)

## Lectures

1. [Week 1 : Lecture 1 : Introduction to course – Rural development (RD)](https://invisiblenetwork.ai/learn/nptel/105101221/9ec790830b21) (Video)
2. [Week 1 : Lecture 2 : Water security (SF) and Water security (GW) and issues](https://invisiblenetwork.ai/learn/nptel/105101221/ed646c2ce423) (Video)
3. [Week 1 : Lecture 3 : Food security and issues](https://invisiblenetwork.ai/learn/nptel/105101221/f115196baf4b) (Video)
4. [Week 1 : Lecture 4 : Agriculture and rural infrastructure issues](https://invisiblenetwork.ai/learn/nptel/105101221/6450e3d920fe) (Video)
5. [Week 1 : Lecture 5 : Rural Development](https://invisiblenetwork.ai/learn/nptel/105101221/7454f1607baa) (Video)
6. [Week 2 : Lecture 6 : Data and mapping issues for Rural regions](https://invisiblenetwork.ai/learn/nptel/105101221/5928b493f97b) (Video)
7. [Week 2 : Lecture 7 : Introduction to Remote Sensing and need](https://invisiblenetwork.ai/learn/nptel/105101221/eccd19b290f9) (Video)
8. [Week 2 : Lecture 8 : Remote Sensing for Water and Food Security](https://invisiblenetwork.ai/learn/nptel/105101221/81a0c2251d84) (Video)
9. [Week 2 : Lecture 9 : Remote Sensing for Rural infrastructures](https://invisiblenetwork.ai/learn/nptel/105101221/835a93941856) (Video)
10. [Week 2 : Lecture 10 : Remote Sensing for Rural Development](https://invisiblenetwork.ai/learn/nptel/105101221/1c076eabbb59) (Video)
11. [Week 3 : Lecture 11 : Intro to Remote Sesnsing Data for Rural Development](https://invisiblenetwork.ai/learn/nptel/105101221/32e04e6d7acf) (Video)
12. [Week 3 : Lecture 12 : Intro to Remote Sensing Data for Rural Development : Water](https://invisiblenetwork.ai/learn/nptel/105101221/6bec10092082) (Video)
13. [Week 3 : Lecture 13 : Intro to Remote Sesnsing Data for Rural Development : Soil and Climate](https://invisiblenetwork.ai/learn/nptel/105101221/d03da849c13a) (Video)
14. [Week 3 : Lecture 14 : Intro to Remote Sensing Data for Rural Development : NASA datasets for water](https://invisiblenetwork.ai/learn/nptel/105101221/a44e5f89ed6b) (Video)
15. [Week 3 : Lecture 15 : Intro to Remote Sensing Data for Rural Development](https://invisiblenetwork.ai/learn/nptel/105101221/bddb5392a70a) (Video)
16. [Week 4 : Lecture 16 : Intro to GIS and QGIS](https://invisiblenetwork.ai/learn/nptel/105101221/325d3c1db5d0) (Video)
17. [Week 4 : Lecture 17 : Intro to GIS data types and download](https://invisiblenetwork.ai/learn/nptel/105101221/4deabfacad41) (Video)
18. [Week 4 : Lecture 18 : Intro to GIS vector data type and QGIS panel](https://invisiblenetwork.ai/learn/nptel/105101221/9215ef1e366f) (Video)
19. [Week 4 : Lecture 19 : Vector Tools in QGIS](https://invisiblenetwork.ai/learn/nptel/105101221/756d55c7d6b9) (Video)
20. [Week 4 : Lecture 20 : QGIS tutorials for vector analysis and data searching](https://invisiblenetwork.ai/learn/nptel/105101221/43b3dd999fa6) (Video)
21. [Week 5 : Lecture 21 : Intro to Raster Data type in GIS](https://invisiblenetwork.ai/learn/nptel/105101221/abe98ef8da2e) (Video)
22. [Week 5 : Lecture 22 : Raster data type formats and uses](https://invisiblenetwork.ai/learn/nptel/105101221/4178268520fd) (Video)
23. [Week 5 : Lecture 23 : Raster data and Vector data quality issues](https://invisiblenetwork.ai/learn/nptel/105101221/83aa789d51df) (Video)
24. [Week 5 : Lecture 24 : Raster data tools: Raster calculator and Raster Align](https://invisiblenetwork.ai/learn/nptel/105101221/792f3b831f41) (Video)
25. [Week 5 : Lecture 25 : Raster data tools: Clip and Masking tools](https://invisiblenetwork.ai/learn/nptel/105101221/0ad83aa70a5b) (Video)
26. [Week 6 : Lecture 26 : Intro to GIS Projections and Co-ordinate systems](https://invisiblenetwork.ai/learn/nptel/105101221/3b3641e76a37) (Video)
27. [Week 6 : Lecture 27 : Intro to digitization of images for raster data](https://invisiblenetwork.ai/learn/nptel/105101221/7e9a23a59131) (Video)
28. [Week 6 : Lecture 28 : Digitization of scanned maps into raster data](https://invisiblenetwork.ai/learn/nptel/105101221/47aa00e441fb) (Video)
29. [Week 6 : Lecture 29 : Extracting point and line features from georeferenced data](https://invisiblenetwork.ai/learn/nptel/105101221/feb6fc5457ac) (Video)
30. [Week 6 : Lecture 30 : Extracting polygon features from georeferenced data](https://invisiblenetwork.ai/learn/nptel/105101221/d863981eb306) (Video)
31. [Week 7 : Lecture 31 : Creating shapefiles from georefrenced maps](https://invisiblenetwork.ai/learn/nptel/105101221/0284d939ad1a) (Video)
32. [Week 7 : Lecture 32 : Google Earth Pro introduction for extracting data](https://invisiblenetwork.ai/learn/nptel/105101221/c62cb37ce239) (Video)
33. [Week 7 : Lecture 33 : Ground Control points from Google Earth Pro and Basemaps](https://invisiblenetwork.ai/learn/nptel/105101221/c7ec31ea65fb) (Video)
34. [Week 7 : Lecture 34 : Digital Elevation models and sources](https://invisiblenetwork.ai/learn/nptel/105101221/b701659eaf08) (Video)
35. [Week 7 : Lecture 35 : Digital Elevation models (hands on example)](https://invisiblenetwork.ai/learn/nptel/105101221/8e7503d7963d) (Video)
36. [Week 8 : Lecture 36 : Introduction to Land Use Land Cover](https://invisiblenetwork.ai/learn/nptel/105101221/10c6aafe7ae1) (Video)
37. [Week 8 : Lecture 37 : Data for LULC and proxy data](https://invisiblenetwork.ai/learn/nptel/105101221/daed0366a32d) (Video)
38. [Week 8 : Lecture 38 : Analyzing Bhuvan LULC data (Part 1)](https://invisiblenetwork.ai/learn/nptel/105101221/1539b41fb728) (Video)
39. [Week 8 : Lecture 39 : Analyzing Bhuvan LULC data (Part 2)](https://invisiblenetwork.ai/learn/nptel/105101221/f08d459a8d55) (Video)
40. [Week 8 : Lecture 40 : Analyzing USGS LULC data](https://invisiblenetwork.ai/learn/nptel/105101221/9831aca35072) (Video)
41. [Week 9 : Lecture 41 : Different types of LULC classifications](https://invisiblenetwork.ai/learn/nptel/105101221/d4ab2137b304) (Video)
42. [Week 9 : Lecture 42 : Different types of LULC classifications](https://invisiblenetwork.ai/learn/nptel/105101221/dcf9632d91fb) (Video)
43. [Week 9 : Lecture 43 : Remote Sensing for irrigation assessments](https://invisiblenetwork.ai/learn/nptel/105101221/03aa63905fce) (Video)
44. [Week 9 : Lecture 44 : Remote Sensing for Groundwater irrigation assessments](https://invisiblenetwork.ai/learn/nptel/105101221/da5693a013c5) (Video)
45. [Week 9 : Lecture 45 : Methods for Crop Statistics using Remote Sensing data](https://invisiblenetwork.ai/learn/nptel/105101221/bb7cedb3b0cf) (Video)
46. [Week 10 : Lecture 46 : Remote Sensing based indicators for rural development](https://invisiblenetwork.ai/learn/nptel/105101221/fa348f1073f7) (Video)
47. [Week 10 : Lecture 47 : Remote Sensing methods for crop area and health assessments](https://invisiblenetwork.ai/learn/nptel/105101221/f4b6fa88cbfd) (Video)
48. [Week 10 : Lecture 48 : NDVI data access](https://invisiblenetwork.ai/learn/nptel/105101221/717852e41f40) (Video)
49. [Week 10 : Lecture 49 : NDVI data from NASA platforms](https://invisiblenetwork.ai/learn/nptel/105101221/781f4f41a573) (Video)
50. [Week 10 : Lecture 50 : NDVI data from Sentinel and NASA platforms](https://invisiblenetwork.ai/learn/nptel/105101221/a40788cd0ec8) (Video)
51. [Week 11 : Lecture 51 : Remote Sensing based indicators database](https://invisiblenetwork.ai/learn/nptel/105101221/79e22c31e54c) (Video)
52. [Lecture 52 : Synergized mapping using Remote Sensing & Crowd Sourced data for rural infrastructures](https://invisiblenetwork.ai/learn/nptel/105101221/9fac4043e520) (Video)
53. [Week 11 : Lecture 53 : RS and OSM for mapping rural infrastructures: Schools](https://invisiblenetwork.ai/learn/nptel/105101221/acf767e3cbdc) (Video)
54. [Week 11 : Lecture 54 : RS and OSM for mapping rural infrastructures: Hospitals](https://invisiblenetwork.ai/learn/nptel/105101221/ee810cc7ca61) (Video)
55. [Lecture 55 : RS and OSM for mapping rural infrastructures: Adding data, crops and water bodies](https://invisiblenetwork.ai/learn/nptel/105101221/0a00bb2cc4f6) (Video)
56. [Week 12 : Lecture 56 : RS and GIS application for Rural Development: Moniotring and Evaluation](https://invisiblenetwork.ai/learn/nptel/105101221/79a87dde548b) (Video)
57. [Lecture 57 : RS and GIS application for Rural Development: Monitoring & Evaluation using NDVI & NDWI](https://invisiblenetwork.ai/learn/nptel/105101221/a612065e21d7) (Video)
58. [Week 12 : Lecture 58 : RS and GIS application for Rural Development: Water Quality Assessment](https://invisiblenetwork.ai/learn/nptel/105101221/b20e7806e27a) (Video)
59. [Week 12 : Lecture 59 : RS and GIS application for Rural Development: Indicators and Dashboards](https://invisiblenetwork.ai/learn/nptel/105101221/9c66df8fb56e) (Video)
60. [Week 12 : Lecture 60 : RS and GIS for Rural Development - Summary, Wrap and Ways Forward](https://invisiblenetwork.ai/learn/nptel/105101221/96760f69a0fa) (Video)