Module Name | Download |
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Sl.No | Chapter Name | MP4 Download |
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1 | Lecture 01: Syllabus | Download |
2 | M1L1: History Of Microwave Remote Sensing | Download |
3 | M1L2: Overview Of Active And Passive Microwave Remote Sensing | Download |
4 | M1L3: Fundamentals Laws Of Remote Sensing | Download |
5 | Tutorial 01: Python Programming From Beginner Perspective | Download |
6 | M1L4: Scattering Of Microwaves | Download |
7 | M2L1: Synthetic Aperture Radars - Basics | Download |
8 | M2L2: Sar Image Processing - Fundamental Terminologies | Download |
9 | M2L3: Working With Sar Imagery | Download |
10 | M2L4: Understanding Radar Equation | Download |
11 | Tutorial 02 : Exploring Alos Palsar Data In Python | Download |
12 | M2L5: Understanding Radar Imagery | Download |
13 | Tutorial 03: Introduction To SNAP | Download |
14 | M2L6: Doppler Shift | Download |
15 | M2L7: Speckle | Download |
16 | M2L8: Speckle- How To Handle | Download |
17 | Tutorial 04 Part 01: Plotting In 1 D Using Python | Download |
18 | Tutorial 04 Part 02: Plotting In 2 D Using Python | Download |
19 | Tutorial 04 Part 03: Statistics Using Python | Download |
20 | Tutorial 04 Part 04: Hypothesis Tesing Using Python | Download |
21 | M2L9: Sar Image Pre Processing | Download |
22 | M2L10: Sar Image Texture | Download |
23 | M2L11: Texture For Image Classification | Download |
24 | M2L12: Polarization | Download |
25 | Tutorial 05 Part 01: Speckle Filtering Using Python | Download |
26 | Tutorial 05 Part 02: Speckle Filtering Using Python Using Gaussian Filter | Download |
27 | M2NU1: Numerical On Radar Remote Sensing | Download |
28 | M2NU2: Numerical On Radar Remote Sensing | Download |
29 | M3L1: Image Classification - Basics | Download |
30 | M3L2: Supervised Classification | Download |
31 | M3L3: Maximum Likelihood Classification | Download |
32 | Tutorial 06 Part 01: Sar Image Pre-processing | Download |
33 | Tutorial 06 Part 02: Maximum Likelihood Classification In Snap | Download |
34 | M3L4: Unsupervised Classification And Accuracy Assessment | Download |
35 | M3L5: Fuzzy Classification | Download |
36 | Tutorial 07 Part 01: Working With Grace Data In Python | Download |
37 | Tutorial 07 Part 02: Altimetry Data In Python | Download |
38 | Tutorial 07 Part 03: Swot Mission For Altimetry | Download |
39 | M4L1: Radars In Hydrology | Download |
40 | M4L2: Applications Of Radar Remote Sensing In Hydrology | Download |
41 | M4L3: Doppler Weather Radar | Download |
42 | Tutorial 08 Part01: Doppler Weather Radar Data Visualization And Precipitation Estimation | Download |
43 | Tutorial 08 Part 02: Doppler Weather Radar Data Visualization And Precipitation Estimation | Download |
44 | M4L4: Radar Altimetry | Download |
45 | M4L5: Measuring Soil Moisture And Terrestrial Water Storage Using Radar Remote Sensing | Download |
46 | Tutorial 09: Handling Passive Microwave Obsevations | Download |
47 | M5L1: Fundamentals Of Passive Microwave Remote Sensing - Part 1 | Download |
48 | M5L2: Fundamentals Of Passive Microwave Remote Sensing - Part 2 | Download |
49 | M5L3: Applications Of Passive Microwave Remote Sensing In Hydrology | Download |
50 | M5L4: Passive Microwave Radiometers And Their Applications | Download |
51 | Tutorial 10: Processing Satellite Precipitation Data Using Python | Download |
52 | M6L1: Introduction To The Basics Of Sar Intereferometry | Download |
53 | M6L2: Sar Interferometry (Insar) And Applications | Download |
54 | M6L3: Introduction To Other Modes Of Sar Interferometry And Applications - DInSAR, PSInSAR and DEM's | Download |
55 | Tutorial 11: Sar Interferometry Processing Using Snaphu | Download |
56 | Tutorial 12 Part 1: Hydrologic Modelling Using Microwave Remote Sensing | Download |
57 | Tutorial 12 Part 2: Introduction To Swat+ Hydrological Model | Download |
58 | Tutorial 12 Part 3 : Introductory Tutorial On Vic Hydrological Model | Download |
Sl.No | Chapter Name | English |
---|---|---|
1 | Lecture 01: Syllabus | Download Verified |
2 | M1L1: History Of Microwave Remote Sensing | Download Verified |
3 | M1L2: Overview Of Active And Passive Microwave Remote Sensing | Download Verified |
4 | M1L3: Fundamentals Laws Of Remote Sensing | Download Verified |
5 | Tutorial 01: Python Programming From Beginner Perspective | Download Verified |
6 | M1L4: Scattering Of Microwaves | Download Verified |
7 | M2L1: Synthetic Aperture Radars - Basics | Download Verified |
8 | M2L2: Sar Image Processing - Fundamental Terminologies | Download Verified |
9 | M2L3: Working With Sar Imagery | Download Verified |
10 | M2L4: Understanding Radar Equation | Download Verified |
11 | Tutorial 02 : Exploring Alos Palsar Data In Python | PDF unavailable |
12 | M2L5: Understanding Radar Imagery | PDF unavailable |
13 | Tutorial 03: Introduction To SNAP | PDF unavailable |
14 | M2L6: Doppler Shift | PDF unavailable |
15 | M2L7: Speckle | PDF unavailable |
16 | M2L8: Speckle- How To Handle | PDF unavailable |
17 | Tutorial 04 Part 01: Plotting In 1 D Using Python | PDF unavailable |
18 | Tutorial 04 Part 02: Plotting In 2 D Using Python | PDF unavailable |
19 | Tutorial 04 Part 03: Statistics Using Python | PDF unavailable |
20 | Tutorial 04 Part 04: Hypothesis Tesing Using Python | PDF unavailable |
21 | M2L9: Sar Image Pre Processing | PDF unavailable |
22 | M2L10: Sar Image Texture | PDF unavailable |
23 | M2L11: Texture For Image Classification | PDF unavailable |
24 | M2L12: Polarization | PDF unavailable |
25 | Tutorial 05 Part 01: Speckle Filtering Using Python | PDF unavailable |
26 | Tutorial 05 Part 02: Speckle Filtering Using Python Using Gaussian Filter | PDF unavailable |
27 | M2NU1: Numerical On Radar Remote Sensing | PDF unavailable |
28 | M2NU2: Numerical On Radar Remote Sensing | PDF unavailable |
29 | M3L1: Image Classification - Basics | PDF unavailable |
30 | M3L2: Supervised Classification | PDF unavailable |
31 | M3L3: Maximum Likelihood Classification | PDF unavailable |
32 | Tutorial 06 Part 01: Sar Image Pre-processing | PDF unavailable |
33 | Tutorial 06 Part 02: Maximum Likelihood Classification In Snap | PDF unavailable |
34 | M3L4: Unsupervised Classification And Accuracy Assessment | PDF unavailable |
35 | M3L5: Fuzzy Classification | PDF unavailable |
36 | Tutorial 07 Part 01: Working With Grace Data In Python | PDF unavailable |
37 | Tutorial 07 Part 02: Altimetry Data In Python | PDF unavailable |
38 | Tutorial 07 Part 03: Swot Mission For Altimetry | PDF unavailable |
39 | M4L1: Radars In Hydrology | PDF unavailable |
40 | M4L2: Applications Of Radar Remote Sensing In Hydrology | PDF unavailable |
41 | M4L3: Doppler Weather Radar | PDF unavailable |
42 | Tutorial 08 Part01: Doppler Weather Radar Data Visualization And Precipitation Estimation | PDF unavailable |
43 | Tutorial 08 Part 02: Doppler Weather Radar Data Visualization And Precipitation Estimation | PDF unavailable |
44 | M4L4: Radar Altimetry | PDF unavailable |
45 | M4L5: Measuring Soil Moisture And Terrestrial Water Storage Using Radar Remote Sensing | PDF unavailable |
46 | Tutorial 09: Handling Passive Microwave Obsevations | PDF unavailable |
47 | M5L1: Fundamentals Of Passive Microwave Remote Sensing - Part 1 | PDF unavailable |
48 | M5L2: Fundamentals Of Passive Microwave Remote Sensing - Part 2 | PDF unavailable |
49 | M5L3: Applications Of Passive Microwave Remote Sensing In Hydrology | PDF unavailable |
50 | M5L4: Passive Microwave Radiometers And Their Applications | PDF unavailable |
51 | Tutorial 10: Processing Satellite Precipitation Data Using Python | PDF unavailable |
52 | M6L1: Introduction To The Basics Of Sar Intereferometry | PDF unavailable |
53 | M6L2: Sar Interferometry (Insar) And Applications | PDF unavailable |
54 | M6L3: Introduction To Other Modes Of Sar Interferometry And Applications - DInSAR, PSInSAR and DEM's | PDF unavailable |
55 | Tutorial 11: Sar Interferometry Processing Using Snaphu | PDF unavailable |
56 | Tutorial 12 Part 1: Hydrologic Modelling Using Microwave Remote Sensing | PDF unavailable |
57 | Tutorial 12 Part 2: Introduction To Swat+ Hydrological Model | PDF unavailable |
58 | Tutorial 12 Part 3 : Introductory Tutorial On Vic Hydrological Model | PDF unavailable |
Sl.No | Language | Book link |
---|---|---|
1 | English | Not Available |
2 | Bengali | Not Available |
3 | Gujarati | Not Available |
4 | Hindi | Not Available |
5 | Kannada | Not Available |
6 | Malayalam | Not Available |
7 | Marathi | Not Available |
8 | Tamil | Not Available |
9 | Telugu | Not Available |