Application: Agriculture Land management

Agriculture Land management

Select other Application.

Basic information

Name Agriculture
Specific Name Land management
Description

Indices

Nr. Name Formula Variables Comment
1 Normalized Difference NIR/Red NIR - RED NIR + RED RED=[670;50;30],NIR=[800;10;10]

Sensors

Nr. Name Spectral Range Bands
1 ChrisProbaM1 406-1003 62
2 ChrisProbaM4 486-796 18
3 ChrisProbaM5 438-1036 37
4 LandsatMSS (Landsat1-3) 500-1100 4
5 LandsatTM (Landsat4,5) 450-12500 7
6 LandsatETM+ (Landsat7) 450-12500 8
7 ASTER 520-11650 15
8 RapidEye 440-850 5
9 HyMap 429-2493.8 126
10 AVHRR 580-12500 6
11 QuickBird 450-900 5
12 SPOT 1-3 500-890 4
13 IKONOS-2 445-900 5
14 Kompsat-2 0-900 5
15 EnMap 420-2450 244
16 GeoEye-1 450-920 5
17 Orbview-1 450-900 5
18 AVIRIS 355.15-2515 224
19 Orbview-4 450-2450 200
20 ALI 433-2350 10
21 Hyperion 349.896-2582.28 242
22 SPOT 4 500-1750 5
23 SPOT 5 480-1750 5
24 WorldView-2 400-1040 9
25 Formosat-2 450-900 5
26 ALOS 0-890 6
27 CBERS-1/CBERS-2 450-890 8
28 WorldView-3 400-2365 29
29 SeaWiFS 412-905 8
30 CZCS 433-12500 6
31 SEVIRI 560-14400 12
32 VIIRS 412-13350 22
33 MSU-MR 500-12500 6
34 UK-DMC 2 520-900 3
35 DubaiSat-1 420-890 5
36 Resurs-DK1 500-800 4
37 Monitor-E 510-900 4
38 AISA 400-2506.7 498
39 CASI_spatial 417-806 11
40 DAIS-7915 400-12600 79
41 HYDICE 400-2500 210
42 AHS 428.5-13140 80
43 IRS-1D 500-1700 5
44 IRS-1C 500-1700 5
45 Sentinel-2A 433-2280 13
46 VENμS 400-920 12
47 SCIAMACHY 240-2380 15
48 CASI 550 400-1000 288
49 CASI1500 380-1500 288
50 GLI 375-12500 36
51 ARIES-1 400-2587 105
52 ASAS 400-1020 62
53 INSAT-2E 550-12500 6
54 Pleiades-1 430-950 5
55 PHI 400-1000.35 244
56 CASI spectral 391-905.5 96
57 IRS-1A 450-860 4
58 IRS-P2 450-860 4
59 IRS-P3 403-1650 18
60 IRS-1B 450-860 4
61 MMR 450-2300 7
62 Early Bird 450-890 4
63 SIS 450-900 5
64 Resource21 450-1650 6
65 Daedalus 0-13000 12
66 AVIS 550-994 74
67 Azimuth Systems AZ-16 0-13000 12
68 PROBA-V 440-1635 4
69 Deimos-2 420-890 5
70 SPOT 6 450-890 5
71 SPOT 7 450-890 5

References

Nr. Author/Title Year Comment
1 Bastiaanssen, Wim G. M.; Molden, David J.; Makin, Ian W. - Remote sensing for irrigated agriculture: examples from research and possible applications 2000
2 Boochs, F.; Kupfer, G.; Dockter, K.; Kühbauch, W. - Shape of the red edge as vitality indicator for plants 1990
3 Metternicht, G. - Vegetation indices derived from high-resolution airborne videography for precision crop management 2003
4 Moran, M. S.; Inoue, Y.; Barnes, E. M. - Opportunities and limitations for image-based remote sensing in precision crop management 1997
5 Moulin, S.; Bondeau, A.; Delecolle, R. - Combining agricultural crop models and satellite observations: from field to regional scales 1998
6 Pinter, P. J.; Hatfield, J. L.; Schepers, J. S.; Barnes, E. M.; Moran, M. S.; Daughtry, C. S. T.; Upchurch, D. R. - Remote sensing for crop management 2003
7 Richardson, A. J.; Everitt, J. H. - Using spectral vegetation indices to estimate rangeland productivity 1992

Export bibliographic references as: BibTeXRIS (Endnote)CSV

List of Applications