-
1
-
-
84887105216
-
Twenty five years of remote sensing in precision agriculture: Key advances and remaining knowledge gaps
-
D. J. Mulla, "Twenty five years of remote sensing in precision agriculture: key advances and remaining knowledge gaps," Biosyst. Eng. 114, 358-371 (2013).
-
(2013)
Biosyst. Eng.
, vol.114
, pp. 358-371
-
-
Mulla, D.J.1
-
2
-
-
84892621633
-
UAV-based imaging for multi-temporal, very high resolution crop surface models to monitor crop growth variability
-
J. Bendig, A. Bolten, and G. Bareth, "UAV-based imaging for multi-temporal, very high resolution crop surface models to monitor crop growth variability," Photogramm. Fernerkundung Geoinf. 2013, 551-562 (2013).
-
(2013)
Photogramm. Fernerkundung Geoinf.
, vol.2013
, pp. 551-562
-
-
Bendig, J.1
Bolten, A.2
Bareth, G.3
-
3
-
-
84912137635
-
Combined spectral and spatial modeling of corn yield based on aerial images and crop surface models acquired with an unmanned aircraft system
-
J. Geipel, J. Link, and W. Claupein, "Combined spectral and spatial modeling of corn yield based on aerial images and crop surface models acquired with an unmanned aircraft system," Remote Sens. 11, 10335-10355 (2014).
-
(2014)
Remote Sens.
, vol.11
, pp. 10335-10355
-
-
Geipel, J.1
Link, J.2
Claupein, W.3
-
4
-
-
84896285330
-
Multitemporal crop surface models: Accurate plant height measurement and biomass estimation with terrestrial laser scanning in paddy rice
-
N. Tilly et al., "Multitemporal crop surface models: accurate plant height measurement and biomass estimation with terrestrial laser scanning in paddy rice," J. Appl. Remote Sens. 8, 083671 (2014).
-
(2014)
J. Appl. Remote Sens.
, vol.8
, pp. 083671
-
-
Tilly, N.1
-
5
-
-
84912124929
-
Estimating biomass of barley using crop surface models (CSMs) derived from UAV-based RGB imaging
-
J. Bendig et al., "Estimating biomass of barley using crop surface models (CSMs) derived from UAV-based RGB imaging," Remote Sens. 6, 10395-10412 (2014).
-
(2014)
Remote Sens.
, vol.6
, pp. 10395-10412
-
-
Bendig, J.1
-
6
-
-
84942540720
-
Fusion of plant height and vegetation indices for the estimation of Barley biomass
-
N. Tilly, H. Aasen, and G. Bareth, "Fusion of plant height and vegetation indices for the estimation of Barley biomass," Remote Sens. 7, 11449-11480 (2015).
-
(2015)
Remote Sens.
, vol.7
, pp. 11449-11480
-
-
Tilly, N.1
Aasen, H.2
Bareth, G.3
-
7
-
-
84880274496
-
Remote estimation of crop and grass chlorophyll and nitrogen content using red-edge bands on Sentinel-2 and-3
-
J. Clevers and A. Gitelson, "Remote estimation of crop and grass chlorophyll and nitrogen content using red-edge bands on Sentinel-2 and-3," Int. J. Appl. Earth Obs. Geoinf. 23(2013), 344-351 (2013).
-
(2013)
Int. J. Appl. Earth Obs. Geoinf.
, vol.23
, Issue.2013
, pp. 344-351
-
-
Clevers, J.1
Gitelson, A.2
-
8
-
-
84923313532
-
Estimate leaf chlorophyll of rice using reflectance indices and partial least squares
-
K. Yu et al., "Estimate leaf chlorophyll of rice using reflectance indices and partial least squares," Photogramm. Fernerkundung Geoinf. 2015, 45-54 (2015).
-
(2015)
Photogramm. Fernerkundung Geoinf.
, vol.2015
, pp. 45-54
-
-
Yu, K.1
-
9
-
-
84908190246
-
Fast and nondestructive method for leaf level chlorophyll estimation using hyperspectral LiDAR
-
O. Nevalainen et al., "Fast and nondestructive method for leaf level chlorophyll estimation using hyperspectral LiDAR," Agric. For. Meteorol. 198-199, 250-258 (2014).
-
(2014)
Agric. For. Meteorol.
, vol.198-199
, pp. 250-258
-
-
Nevalainen, O.1
-
10
-
-
84928565054
-
Non-invasive assessment of leaf water status using a dual-mode microwave resonator
-
S. Dadshani et al., "Non-invasive assessment of leaf water status using a dual-mode microwave resonator," Plant Methods 11(1), 8 (2015).
-
(2015)
Plant Methods
, vol.11
, Issue.1
, pp. 8
-
-
Dadshani, S.1
-
11
-
-
84925498279
-
Contactless water status measurements on plants at 35 GHz
-
R. Gente, A. Rehn, and M. Koch, "Contactless water status measurements on plants at 35 GHz," J. Infrared Millimeter and Terahertz Waves 36(3), 312-317 (2015).
-
(2015)
J. Infrared Millimeter and Terahertz Waves
, vol.36
, Issue.3
, pp. 312-317
-
-
Gente, R.1
Rehn, A.2
Koch, M.3
-
12
-
-
84940536749
-
Advantage of hyperspectral EO-1 hyperion over multispectral IKONOS, Geoeye-1, Worldview-2, Landsat ETM+, and MODIS vegetation indices in crop biomass estimation
-
M. Marshall and P. Thenkabail, "Advantage of hyperspectral EO-1 hyperion over multispectral IKONOS, Geoeye-1, Worldview-2, Landsat ETM+, and MODIS vegetation indices in crop biomass estimation," ISPRS J. Photogramm. Remote Sens. 108, 205-218 (2015).
-
(2015)
ISPRS J. Photogramm. Remote Sens.
, vol.108
, pp. 205-218
-
-
Marshall, M.1
Thenkabail, P.2
-
13
-
-
84939454114
-
Combining UAV-based plant height from crop surface models, visible, and near infrared vegetation indices for biomass monitoring in barley
-
J. Bendig et al., "Combining UAV-based plant height from crop surface models, visible, and near infrared vegetation indices for biomass monitoring in barley," Int. J. Appl. Earth Obs. Geoinf. 39, 79-87 (2015).
-
(2015)
Int. J. Appl. Earth Obs. Geoinf.
, vol.39
, pp. 79-87
-
-
Bendig, J.1
-
14
-
-
84941263991
-
Generating 3D hyperspectral information with lightweight UAV snapshot cameras for vegetation monitoring: From camera calibration to quality assurance
-
H. Aasen et al., "Generating 3D hyperspectral information with lightweight UAV snapshot cameras for vegetation monitoring: from camera calibration to quality assurance," ISPRS J. Photogramm. Remote Sens. 108, 245-259 (2015).
-
(2015)
ISPRS J. Photogramm. Remote Sens.
, vol.108
, pp. 245-259
-
-
Aasen, H.1
-
15
-
-
78650340818
-
High resolution crop surface models (CSM) and crop volume models (CVM) on field level by terrestrial laser scanning
-
D. Hoffmeister et al., "High resolution crop surface models (CSM) and crop volume models (CVM) on field level by terrestrial laser scanning," Proc. SPIE 7840, 78400E (2010).
-
(2010)
Proc. SPIE
, vol.7840
, pp. 78400E
-
-
Hoffmeister, D.1
-
16
-
-
85006750320
-
Transferability of models for estimating paddy rice biomass from spatial plant height data
-
N. Tilly et al., "Transferability of models for estimating paddy rice biomass from spatial plant height data," Agriculture 5, 538-560 (2015).
-
(2015)
Agriculture
, vol.5
, pp. 538-560
-
-
Tilly, N.1
-
17
-
-
85019388980
-
Precise plant height monitoring and biomass estimation with terrestrial laser scanning in paddy rice
-
N. Tilly et al., "Precise plant height monitoring and biomass estimation with terrestrial laser scanning in paddy rice," ISPRS Ann. Photogramm. Remote Sens. Spat. Inf. Sci. II-5/W2, 295-300 (2013).
-
(2013)
ISPRS Ann. Photogramm. Remote Sens. Spat. Inf. Sci.
, vol.II-5
, Issue.W2
, pp. 295-300
-
-
Tilly, N.1
-
18
-
-
84904738647
-
Automated hyperspectral vegetation index retrieval from multiple correlation matrices with hypercor
-
H. Aasen et al., "Automated hyperspectral vegetation index retrieval from multiple correlation matrices with hypercor," Photogramm. Eng. Remote Sens. 80, 785-795 (2014).
-
(2014)
Photogramm. Eng. Remote Sens.
, vol.80
, pp. 785-795
-
-
Aasen, H.1
-
19
-
-
40049094670
-
Review of methods of small-footprint airborne laser scanning for extracting forest inventory data in boreal forests
-
J. Hyyppä et al., "Review of methods of small-footprint airborne laser scanning for extracting forest inventory data in boreal forests," Int. J. Remote Sens. 29, 1339-1366 (2008).
-
(2008)
Int. J. Remote Sens.
, vol.29
, pp. 1339-1366
-
-
Hyyppä, J.1
-
20
-
-
78650177084
-
Field characterization of olive (Olea europaea L.) tree crown architecture using terrestrial laser scanning data
-
I. Moorthy et al., "Field characterization of olive (Olea europaea L.) tree crown architecture using terrestrial laser scanning data," Agric. For. Meteorol. 151, 204-214 (2011).
-
(2011)
Agric. For. Meteorol.
, vol.151
, pp. 204-214
-
-
Moorthy, I.1
-
21
-
-
33845677568
-
Voxel-Based 3-D modeling of individual trees for estimating leaf area density using high-resolution portable scanning lidar
-
F. Hosoi and K. Omasa, "Voxel-Based 3-D modeling of individual trees for estimating leaf area density using high-resolution portable scanning lidar," IEEE Trans. Geosci. Remote Sens. 44, 3610-3618 (2006).
-
(2006)
IEEE Trans. Geosci. Remote Sens.
, vol.44
, pp. 3610-3618
-
-
Hosoi, F.1
Omasa, K.2
-
22
-
-
84947285603
-
A mobile terrestrial laser scanner for tree crops: Point cloud generation, information extraction and validation in an intensive olive orchard
-
J. V. Stafford, Ed., Wageningen Academic Publishers, The Netherlands
-
A. Escolà et al., "A mobile terrestrial laser scanner for tree crops: point cloud generation, information extraction and validation in an intensive olive orchard," in Precision Agriculture '15, J. V. Stafford, Ed., pp. 337-344, Wageningen Academic Publishers, The Netherlands (2015).
-
(2015)
Precision Agriculture '15
, pp. 337-344
-
-
Escolà, A.1
-
23
-
-
84907876652
-
Estimation of leaf biochemical content using a novel hyperspectral full-waveform LiDAR system
-
W. Li et al., "Estimation of leaf biochemical content using a novel hyperspectral full-waveform LiDAR system," Remote Sens. Lett. 5, 693-702 (2014).
-
(2014)
Remote Sens. Lett.
, vol.5
, pp. 693-702
-
-
Li, W.1
-
24
-
-
84908626507
-
In-field crop row phenotyping from 3D modeling performed using structure from motion
-
S. Jay et al., "In-field crop row phenotyping from 3D modeling performed using structure from motion," Comput. Electron. Agric. 110, 70-77 (2015).
-
(2015)
Comput. Electron. Agric.
, vol.110
, pp. 70-77
-
-
Jay, S.1
-
25
-
-
80051868302
-
Applicability of green-red vegetation index for remote sensing of vegetation phenology
-
T. Motohka et al., "Applicability of green-red vegetation index for remote sensing of vegetation phenology," Remote Sens. 2(10), 2369-2387 (2010).
-
(2010)
Remote Sens.
, vol.2
, Issue.10
, pp. 2369-2387
-
-
Motohka, T.1
-
26
-
-
84891879616
-
Automatic rice crop height measurement using a field server and digital image processing
-
T. Sritarapipat, P. Rakwatin, and T. Kasetkasem, "Automatic rice crop height measurement using a field server and digital image processing.," Sensors 14, 9-26 (2014).
-
(2014)
Sensors
, vol.14
, pp. 9-26
-
-
Sritarapipat, T.1
Rakwatin, P.2
Kasetkasem, T.3
-
27
-
-
33644854567
-
Automated crop and weed monitoring in widely spaced cereals
-
T. Hague, N. D. Tillett, and H. Wheeler, "Automated crop and weed monitoring in widely spaced cereals," Precision Agric. 7, 21-32 (2006).
-
(2006)
Precision Agric.
, vol.7
, pp. 21-32
-
-
Hague, T.1
Tillett, N.D.2
Wheeler, H.3
-
28
-
-
84908689234
-
Utilization of ground-based digital photography for the evaluation of seasonal changes in the aboveground green biomass and foliage phenology in a grassland ecosystem
-
T. Inoue et al., "Utilization of ground-based digital photography for the evaluation of seasonal changes in the aboveground green biomass and foliage phenology in a grassland ecosystem," Ecol. Inf. 25, 1-9 (2015).
-
(2015)
Ecol. Inf.
, vol.25
, pp. 1-9
-
-
Inoue, T.1
-
29
-
-
84888199590
-
Hyperspectral canopy sensing of paddy rice aboveground biomass at different growth stages
-
M. L. Gnyp et al., "Hyperspectral canopy sensing of paddy rice aboveground biomass at different growth stages," Field Crops Res. 155, 42-55 (2014).
-
(2014)
Field Crops Res.
, vol.155
, pp. 42-55
-
-
Gnyp, M.L.1
-
30
-
-
84904758274
-
Development and implementation of a multiscale biomass model using hyperspectral vegetation indices for winter wheat in the North China plain
-
M. L. Gnyp et al., "Development and implementation of a multiscale biomass model using hyperspectral vegetation indices for winter wheat in the North China plain," Int. J. Appl. Earth Obs. Geoinf. 33(1), 232-242 (2014).
-
(2014)
Int. J. Appl. Earth Obs. Geoinf.
, vol.33
, Issue.1
, pp. 232-242
-
-
Gnyp, M.L.1
-
31
-
-
84877902845
-
Selection of hyperspectral narrowbands (HNBs) and composition of hyperspectral twoband vegetation indices (HVIs) for biophysical characterization and discrimination of crop types using field reflectance and hyperion/EO-1 data
-
P. S. Thenkabail et al., "Selection of hyperspectral narrowbands (HNBs) and composition of hyperspectral twoband vegetation indices (HVIs) for biophysical characterization and discrimination of crop types using field reflectance and hyperion/EO-1 data," IEEE J. Sel. Top. Appl. Earth Obs. Remote Sens. 6, 427-439 (2013).
-
(2013)
IEEE J. Sel. Top. Appl. Earth Obs. Remote Sens.
, vol.6
, pp. 427-439
-
-
Thenkabail, P.S.1
-
32
-
-
84887817288
-
Non-destructive estimation of rice plant nitrogen status with crop circle multispectral active canopy sensor
-
Q. Cao et al., "Non-destructive estimation of rice plant nitrogen status with crop circle multispectral active canopy sensor," Field Crops Res. 154, 133-144 (2013).
-
(2013)
Field Crops Res.
, vol.154
, pp. 133-144
-
-
Cao, Q.1
-
33
-
-
84874562558
-
Remotely detecting canopy nitrogen concentration and uptake of paddy rice in the Northeast China plain
-
K. Yu et al., "Remotely detecting canopy nitrogen concentration and uptake of paddy rice in the Northeast China plain," ISPRS J. Photogramm. Remote Sens. 78, 102-115 (2013).
-
(2013)
ISPRS J. Photogramm. Remote Sens.
, vol.78
, pp. 102-115
-
-
Yu, K.1
-
34
-
-
77954145922
-
Evaluating hyperspectral vegetation indices for estimating nitrogen concentration of winter wheat at different growth stages
-
F. Li et al., "Evaluating hyperspectral vegetation indices for estimating nitrogen concentration of winter wheat at different growth stages," Precision Agric. 11, 335-357 (2010).
-
(2010)
Precision Agric.
, vol.11
, pp. 335-357
-
-
Li, F.1
-
35
-
-
37149005956
-
Estimating N status of winter wheat using a handheld spectrometer in the North China plain
-
F. Li et al., "Estimating N status of winter wheat using a handheld spectrometer in the North China plain," Field Crops Res. 106, 77-85 (2008).
-
(2008)
Field Crops Res.
, vol.106
, pp. 77-85
-
-
Li, F.1
-
36
-
-
34548509496
-
Remote sensing of nitrogen and water stress in wheat
-
A. K. Tilling et al., "Remote sensing of nitrogen and water stress in wheat," Field Crops Res. 104, 77-85 (2007).
-
(2007)
Field Crops Res.
, vol.104
, pp. 77-85
-
-
Tilling, A.K.1
-
37
-
-
84927785648
-
Red and far red Sun-induced chlorophyll fluorescence as a measure of plant photosynthesis
-
M. Rossini et al., "Red and far red Sun-induced chlorophyll fluorescence as a measure of plant photosynthesis," Geophys. Res. Lett. 42, 1632-1639 (2015).
-
(2015)
Geophys. Res. Lett.
, vol.42
, pp. 1632-1639
-
-
Rossini, M.1
-
38
-
-
84923268614
-
Low-weight and UAV-based hyperspectral full-frame cameras for monitoring crops: Spectral comparison with portable spectroradiometer measurements
-
G. Bareth et al., "Low-weight and UAV-based hyperspectral full-frame cameras for monitoring crops: spectral comparison with portable spectroradiometer measurements," Photogramm. Fernerkundung Geoinf. 2015, 69-79 (2015).
-
(2015)
Photogramm. Fernerkundung Geoinf.
, vol.2015
, pp. 69-79
-
-
Bareth, G.1
-
39
-
-
84912093409
-
A lightweight hyperspectral mapping system and photogrammetric processing chain for unmanned aerial vehicles
-
J. Suomalainen et al., "A lightweight hyperspectral mapping system and photogrammetric processing chain for unmanned aerial vehicles," Remote Sens. 6(11), 11013-11030 (2014).
-
(2014)
Remote Sens.
, vol.6
, Issue.11
, pp. 11013-11030
-
-
Suomalainen, J.1
-
40
-
-
84911480845
-
Mapping crop water stress index in a 'Pinot-noir' vineyard: Comparing ground measurements with thermal remote sensing imagery from an unmanned aerial vehicle
-
J. Bellvert et al., "Mapping crop water stress index in a 'Pinot-noir' vineyard: comparing ground measurements with thermal remote sensing imagery from an unmanned aerial vehicle," Precision Agric. 15, 361-376 (2013).
-
(2013)
Precision Agric.
, vol.15
, pp. 361-376
-
-
Bellvert, J.1
-
41
-
-
84860329380
-
Field-based phenomics for plant genetics research
-
J. W. White et al., "Field-based phenomics for plant genetics research," Field Crops Res. 133, 101-112 (2012).
-
(2012)
Field Crops Res.
, vol.133
, pp. 101-112
-
-
White, J.W.1
-
42
-
-
84891372768
-
Field high-throughput phenotyping: The new crop breeding frontier
-
J. L. Araus and J. E. Cairns, "Field high-throughput phenotyping: the new crop breeding frontier," Trends Plant Sci. 19, 52-61 (2014).
-
(2014)
Trends Plant Sci.
, vol.19
, pp. 52-61
-
-
Araus, J.L.1
Cairns, J.E.2
-
43
-
-
84908509157
-
Proximal remote sensing buggies and potential applications for field-based phenotyping
-
D. Deery et al., "Proximal remote sensing buggies and potential applications for field-based phenotyping," Agronomy 4, 349-379 (2014).
-
(2014)
Agronomy
, vol.4
, pp. 349-379
-
-
Deery, D.1
-
44
-
-
84890460571
-
Development and evaluation of a field-based high-throughput phenotyping platform
-
P. Andrade-Sanchez et al., "Development and evaluation of a field-based high-throughput phenotyping platform," Funct. Plant Biol. 41(2007), 68-79 (2014).
-
(2014)
Funct. Plant Biol.
, vol.41
, Issue.2007
, pp. 68-79
-
-
Andrade-Sanchez, P.1
-
46
-
-
84924248041
-
Evaluating the potential of consumer-grade smart cameras for low-cost stereo-photogrammetric crop-surface monitoring
-
S. Brocks and G. Bareth, "Evaluating the potential of consumer-grade smart cameras for low-cost stereo-photogrammetric crop-surface monitoring," ISPRS Int. Archives Photogramm. Remote Sens. Spat. Inf. Sci. XL-7, 43-49 (2014).
-
(2014)
ISPRS Int. Archives Photogramm. Remote Sens. Spat. Inf. Sci.
, vol.XL-7
, pp. 43-49
-
-
Brocks, S.1
Bareth, G.2
-
48
-
-
0018790505
-
The interpretation of structure from motion
-
S. Ullman, "The interpretation of structure from motion," Proc. R. Soc. London, Ser. B. 203(1153), 405-426 (1979).
-
(1979)
Proc. R. Soc. London, Ser. B.
, vol.203
, Issue.1153
, pp. 405-426
-
-
Ullman, S.1
-
50
-
-
84870300327
-
'Structure-from-motion' photogrammetry: A low-cost, effective tool for geoscience applications
-
M. Westoby et al., "'Structure-from-motion' photogrammetry: a low-cost, effective tool for geoscience applications," Geomorphology 179, 300-314 (2012).
-
(2012)
Geomorphology
, vol.179
, pp. 300-314
-
-
Westoby, M.1
-
51
-
-
84907680915
-
Sequential digital elevation models of active lava flows from ground-based stereo time-lapse imagery
-
M. James and S. Robson, "Sequential digital elevation models of active lava flows from ground-based stereo time-lapse imagery," ISPRS J. Photogramm. Remote Sens. 97, 160-170 (2014).
-
(2014)
ISPRS J. Photogramm. Remote Sens.
, vol.97
, pp. 160-170
-
-
James, M.1
Robson, S.2
-
52
-
-
84870278085
-
Identification of structural controls in an active lava dome with high resolution DEMs: Volcán de Colima, Mexico
-
M. R. James and N. Varley, "Identification of structural controls in an active lava dome with high resolution DEMs: Volcán de Colima, Mexico," Geophys. Res. Lett. 39 (2012).
-
(2012)
Geophys. Res. Lett.
, vol.39
-
-
James, M.R.1
Varley, N.2
-
53
-
-
84898702678
-
Modeling the topography of shallow braided rivers using structure-from-motion photogrammetry
-
L. Javernick, J. Brasington, and B. Caruso, "Modeling the topography of shallow braided rivers using structure-from-motion photogrammetry," Geomorphology 213, 166-182 (2014).
-
(2014)
Geomorphology
, vol.213
, pp. 166-182
-
-
Javernick, L.1
Brasington, J.2
Caruso, B.3
-
54
-
-
79951947187
-
Taking computer vision aloft-archaeological three-dimensional reconstructions from aerial photographs with photoscan
-
G. Verhoeven, "Taking computer vision aloft-archaeological three-dimensional reconstructions from aerial photographs with photoscan," Archaeological Prospection 73, 67-73 (2011).
-
(2011)
Archaeological Prospection
, vol.73
, pp. 67-73
-
-
Verhoeven, G.1
-
55
-
-
84927933469
-
-
9 January 2015
-
D. Semyonov, "Algorithms used in photoscan," 2011, http://www.agisoft.com/forum/index. php?topic=89.msg323#msg323 (9 January 2015).
-
(2011)
Algorithms Used in Photoscan
-
-
Semyonov, D.1
-
56
-
-
3042535216
-
Distinctive image features from scale-invariant keypoints
-
D. G. Lowe, "Distinctive image features from scale-invariant keypoints," Int. J. Comp. Vision 60, 91-110 (2004).
-
(2004)
Int. J. Comp. Vision
, vol.60
, pp. 91-110
-
-
Lowe, D.G.1
-
57
-
-
84918550322
-
Bundle adjustment - A modern synthesis
-
B. Triggs et al., "Bundle adjustment - a modern synthesis," Lect. Notes Comput. Sci. 1883, 298-372 (2000).
-
(2000)
Lect. Notes Comput. Sci.
, vol.1883
, pp. 298-372
-
-
Triggs, B.1
-
58
-
-
85001924416
-
-
22July
-
M. Herker, "Crop.SENSe.net," 2009, https://www.cropsense.uni-bonn.de/(22July2015).
-
(2009)
Crop.SENSe.net
-
-
Herker, M.1
-
59
-
-
85002379552
-
-
1 January
-
Samsung, "Specs - Point-and-Shoot EK-GC100," http://www.samsung.com/us/photography/digital-cameras/EK-GC100ZWAATT-specs (1 January 2015).
-
(2015)
Specs - Point-and-Shoot EK-GC100
-
-
-
60
-
-
27744431642
-
Metric capabilities of low-cost digital cameras for close range surface measurement
-
J. Chandler, J. Fryer, and A. Jack, "Metric capabilities of low-cost digital cameras for close range surface measurement," Photogramm. Record 20, 12-26 (2005).
-
(2005)
Photogramm. Record
, vol.20
, pp. 12-26
-
-
Chandler, J.1
Fryer, J.2
Jack, A.3
-
61
-
-
85002379522
-
Topcon positioning systems
-
22 January
-
Topcon Positioning Systems, "HiPer pro operator's manual," http://www.top-survey.com/top-survey/downloads/HiPerPro-om.pdf (22 January 2015).
-
(2015)
HiPer Pro Operator's Manual
-
-
-
63
-
-
85002206528
-
-
GeoGebra Institute, 22 January
-
GeoGebra Institute, "Geogebra," http://www.geogebra.org/(22 January 2015).
-
(2015)
Geogebra
-
-
-
64
-
-
85002280666
-
-
28 July
-
Trimble, "Datasheet - Trimble M3," http://trl.trimble.com/dscgi/ds.py/Get/File-262358/022543-155J-TrimbleM3-DS-0414-LR.pdf (28 July 2015).
-
(2015)
Datasheet - Trimble M3
-
-
-
65
-
-
85001891750
-
Inkspace project
-
22 July
-
Inkspace Project, "About Inkscape," http://inkscape.org/en/about (22 July 2015).
-
(2015)
About Inkscape
-
-
-
66
-
-
85001891709
-
-
1 February
-
"About Python," https://www.python.org/about/(1 February 2015).
-
(2015)
About Python
-
-
-
67
-
-
85001892855
-
-
December
-
Agisoft, "PhotoScan python reference," http://www.agisoft.com/pdf/photoscan-python- api-1-1-0.pdf (December 2014).
-
(2014)
PhotoScan Python Reference
-
-
-
68
-
-
84940644968
-
A mathematical theory of communication
-
C. E. Shannon, "A mathematical theory of communication," Bell Sys. Tech. J. 27, 379-423 (1948).
-
(1948)
Bell Sys. Tech. J.
, vol.27
, pp. 379-423
-
-
Shannon, C.E.1
-
69
-
-
85001892853
-
-
25 July
-
F. Lundh and A. Clark, "About Pillow," https://pillow.readthedocs.io/ern/3.3.x/about.html (25 July 2016).
-
(2016)
About Pillow
-
-
Lundh, F.1
Clark, A.2
-
71
-
-
84867999784
-
A refined index of model performance
-
C. J. Willmott, S. M. Robeson, and K. Matsuura, "A refined index of model performance," Int. J. Climatol. 32(13), 2088-2094 (2012).
-
(2012)
Int. J. Climatol.
, vol.32
, Issue.13
, pp. 2088-2094
-
-
Willmott, C.J.1
Robeson, S.M.2
Matsuura, K.3
-
72
-
-
84919372315
-
Effects of reduced terrestrial LiDAR point density on highresolution grain crop surface models in precision agriculture
-
M. Hämmerle and B. Höfle, "Effects of reduced terrestrial LiDAR point density on highresolution grain crop surface models in precision agriculture," Sensors 14(12), 24212-24230 (2014).
-
(2014)
Sensors
, vol.14
, Issue.12
, pp. 24212-24230
-
-
Hämmerle, M.1
Höfle, B.2
-
73
-
-
84974559732
-
Effects of LiDAR point density, sampling size and height threshold on estimation accuracy of crop biophysical parameters
-
S. Luo et al., "Effects of LiDAR point density, sampling size and height threshold on estimation accuracy of crop biophysical parameters," Opt. Express 24(11), 11578 (2016).
-
(2016)
Opt. Express
, vol.24
, Issue.11
, pp. 11578
-
-
Luo, S.1
-
74
-
-
84993661871
-
A comparison of UAV-and TLS-derived plant height for crop monitoring: Using polygon grids for the analysis of crop surface models (CSMs)
-
G. Bareth et al., "A comparison of UAV-and TLS-derived plant height for crop monitoring: using polygon grids for the analysis of crop surface models (CSMs)," Photogramm. Fernerkundung Geoinf. 2016(2), 85-94 (2016).
-
(2016)
Photogramm. Fernerkundung Geoinf.
, vol.2016
, Issue.2
, pp. 85-94
-
-
Bareth, G.1
-
75
-
-
84874385803
-
Sources of angle-dependent errors in terrestrial laser scannerbased crop stand measurement
-
D. Ehlert and M. Heisig, "Sources of angle-dependent errors in terrestrial laser scannerbased crop stand measurement," Comput. Electron. Agric. 93, 10-16 (2013).
-
(2013)
Comput. Electron. Agric.
, vol.93
, pp. 10-16
-
-
Ehlert, D.1
Heisig, M.2
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