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Volumn 8, Issue 9, 2016, Pages

High-Resolution NDVI from planet's constellation of earth observing nano-satellites: A new data source for precision agriculture

Author keywords

Data mining; Landsat; Nano satellites; NDVI; Planet labs; Precision agriculture; RGB

Indexed keywords

AGRICULTURE; DATA MINING; EARTH (PLANET); IMAGE SEGMENTATION; NANOSATELLITES; NANOSENSORS; ORBITS; REGRESSION ANALYSIS; VEGETATION;

EID: 84996590419     PISSN: None     EISSN: 20724292     Source Type: Journal    
DOI: 10.3390/rs8090768     Document Type: Article
Times cited : (151)

References (51)
  • 1
    • 61349186319 scopus 로고    scopus 로고
    • Thermal and Narrowband multispectral remote sensing for vegetation monitoring from an unmanned aerial vehicle
    • Berni, J.; Zarco-Tejada, P.J.; Suarez, L.; Fereres, E. Thermal and Narrowband multispectral remote sensing for vegetation monitoring from an unmanned aerial vehicle. IEEE Trans. Geosci. Remote Sens. 2009, 47, 722-738.
    • (2009) IEEE Trans. Geosci. Remote Sens. , vol.47 , pp. 722-738
    • Berni, J.1    Zarco-Tejada, P.J.2    Suarez, L.3    Fereres, E.4
  • 3
    • 0031228124 scopus 로고    scopus 로고
    • Opportunities and limitations for image-based remote sensing in precision crop management
    • Moran, M.S.; Inoue, Y.; Barnes, E.M. Opportunities and limitations for image-based remote sensing in precision crop management. Remote Sens. Environ. 1997, 61, 319-346.
    • (1997) Remote Sens. Environ. , vol.61 , pp. 319-346
    • Moran, M.S.1    Inoue, Y.2    Barnes, E.M.3
  • 4
    • 0036856743 scopus 로고    scopus 로고
    • Precision agriculture-A worldwide overview
    • Zhang, N.; Wang, M.; Wang, N. Precision agriculture-A worldwide overview. Comput. Electron. Agric. 2002, 36, 113-132.
    • (2002) Comput. Electron. Agric. , vol.36 , pp. 113-132
    • Zhang, N.1    Wang, M.2    Wang, N.3
  • 5
    • 1842636389 scopus 로고    scopus 로고
    • Precision agriculture: A challenge for crop nutrition management
    • Robert, P.C. Precision agriculture: A challenge for crop nutrition management. Plant Soil 2002, 247, 143-149.
    • (2002) Plant Soil , vol.247 , pp. 143-149
    • Robert, P.C.1
  • 6
    • 76749142575 scopus 로고    scopus 로고
    • Precision agriculture and food security
    • Gebbers, R.; Adamchuk, V.I. Precision agriculture and food security. Science 2010, 327, 828-831.
    • (2010) Science , vol.327 , pp. 828-831
    • Gebbers, R.1    Adamchuk, V.I.2
  • 8
    • 84865406893 scopus 로고    scopus 로고
    • The next Landsat satellite: The Landsat data continuity mission
    • Irons, J.R.; Dwyer, J.L.; Barsi, J.A. The next Landsat satellite: The Landsat data continuity mission. Remote Sens. Environ. 2012, 122, 11-21.
    • (2012) Remote Sens. Environ. , vol.122 , pp. 11-21
    • Irons, J.R.1    Dwyer, J.L.2    Barsi, J.A.3
  • 11
    • 84982278329 scopus 로고    scopus 로고
    • An Automated Approach for sub-pixel registration of Landsat-8 Operational Land Imager (OLI) and Sentinel-2 Multi Spectral Instrument (MSI) imagery
    • Yan, L.; Roy, D.P.; Zhang, H.; Li, J.; Huang, H. An Automated Approach for sub-pixel registration of Landsat-8 Operational Land Imager (OLI) and Sentinel-2 Multi Spectral Instrument (MSI) imagery. Remote Sens. 2016, 8, 520.
    • (2016) Remote Sens. , vol.8 , pp. 520
    • Yan, L.1    Roy, D.P.2    Zhang, H.3    Li, J.4    Huang, H.5
  • 13
    • 0029667322 scopus 로고    scopus 로고
    • Strategy for direct and indirect methods for correcting the aerosol effect on remote sensing: from AVHRR to EOS-MODIS
    • Kaufman, Y.J.; Tanre, D. Strategy for direct and indirect methods for correcting the aerosol effect on remote sensing: from AVHRR to EOS-MODIS. Remote Sens. Environ. 1996, 55, 65-79.
    • (1996) Remote Sens. Environ. , vol.55 , pp. 65-79
    • Kaufman, Y.J.1    Tanre, D.2
  • 14
    • 0036847450 scopus 로고    scopus 로고
    • Atmospheric correction of MODIS data in the visible to middle infrared: First results
    • Vermote, E.F.; El Saleous, N.Z.; Justice, C.O. Atmospheric correction of MODIS data in the visible to middle infrared: First results. Remote Sens. Environ. 2002, 83, 97-111.
    • (2002) Remote Sens. Environ. , vol.83 , pp. 97-111
    • Vermote, E.F.1    El Saleous, N.Z.2    Justice, C.O.3
  • 15
    • 0032084065 scopus 로고    scopus 로고
    • Biophysical and Biochemical sources of variability in canopy reflectance
    • Asner, G.P. Biophysical and Biochemical sources of variability in canopy reflectance. Remote Sens. Environ. 1998, 64, 234-253.
    • (1998) Remote Sens. Environ. , vol.64 , pp. 234-253
    • Asner, G.P.1
  • 17
    • 0018465733 scopus 로고
    • Red and photographic Infrared linear combinations for monitoring vegetation
    • Tucker, C.J. Red and photographic Infrared linear combinations for monitoring vegetation. Remote Sens. Environ. 1979, 8, 127-150.
    • (1979) Remote Sens. Environ. , vol.8 , pp. 127-150
    • Tucker, C.J.1
  • 18
    • 0022202508 scopus 로고
    • African land-cover classification using satellite data
    • Tucker, C.J.; Townshend, J.R.G.; Goff, T.E. African land-cover classification using satellite data. Science 1985, 227, 369-375.
    • (1985) Science , vol.227 , pp. 369-375
    • Tucker, C.J.1    Townshend, J.R.G.2    Goff, T.E.3
  • 19
    • 0030619096 scopus 로고    scopus 로고
    • Increased plant growth in the northern high latitudes from 1981 to 1991
    • Myneni, R.B.; Keeling, C.D.; Tucker, C.J.; Asra, G.; Nemani, R.R. Increased plant growth in the northern high latitudes from 1981 to 1991. Nature 1997, 386, 698-702.
    • (1997) Nature , vol.386 , pp. 698-702
    • Myneni, R.B.1    Keeling, C.D.2    Tucker, C.J.3    Asra, G.4    Nemani, R.R.5
  • 20
    • 67651121693 scopus 로고    scopus 로고
    • Evaluation of earth observation based long term vegetation trends-Ntercomparing NDVI time series trend analysis consistency of Sahel from AVHRR GIMMS, Terra MODIS and SPOT VGT data
    • Fensholt, R.; Rasmussen, K.; Nielsen, T.T.; Mbow, C. Evaluation of earth observation based long term vegetation trends-Ntercomparing NDVI time series trend analysis consistency of Sahel from AVHRR GIMMS, Terra MODIS and SPOT VGT data. Remote Sens. Environ. 2009, 113, 1886-1898.
    • (2009) Remote Sens. Environ. , vol.113 , pp. 1886-1898
    • Fensholt, R.1    Rasmussen, K.2    Nielsen, T.T.3    Mbow, C.4
  • 21
    • 85027924002 scopus 로고    scopus 로고
    • Evaluating EO-based canopy water stress from seasonally detrended NDVI and SIWSI with modeled evapotranspiration in the Senegal River Basin
    • Olsen, J.L.; Stisen, S.; Proud, S.R.; Fensholt, R. Evaluating EO-based canopy water stress from seasonally detrended NDVI and SIWSI with modeled evapotranspiration in the Senegal River Basin. Remote Sens. Environ. 2015, 159, 57-69.
    • (2015) Remote Sens. Environ. , vol.159 , pp. 57-69
    • Olsen, J.L.1    Stisen, S.2    Proud, S.R.3    Fensholt, R.4
  • 24
    • 2942618334 scopus 로고    scopus 로고
    • A continuous satellite-derived measure of global terrestrial primary production
    • Running, S.W.; Nemani, R.R.; Heinsch, F.A.; Zhao, M.; Reeves, M.; Hashimoto, H. A continuous satellite-derived measure of global terrestrial primary production. Bioscience 2004, 54, 547-560.
    • (2004) Bioscience , vol.54 , pp. 547-560
    • Running, S.W.1    Nemani, R.R.2    Heinsch, F.A.3    Zhao, M.4    Reeves, M.5    Hashimoto, H.6
  • 25
    • 84896975293 scopus 로고    scopus 로고
    • Relationship between fraction of radiation absorbed by photosynthesizing maize and soybean canopies and NDVI from remotely sensed data taken at close range and from MODIS 250m resolution data
    • Gitelson, A.A.; Peng, Y.; Huemmrich, K.F. Relationship between fraction of radiation absorbed by photosynthesizing maize and soybean canopies and NDVI from remotely sensed data taken at close range and from MODIS 250m resolution data. Remote Sens. Environ. 2014, 147, 108-120.
    • (2014) Remote Sens. Environ. , vol.147 , pp. 108-120
    • Gitelson, A.A.1    Peng, Y.2    Huemmrich, K.F.3
  • 26
    • 0028605014 scopus 로고
    • Methodology for the estimation of terrestrial net primary production from remotely sensed data
    • Ruimy, A.; Saugier, B.; Dedieu, G. Methodology for the estimation of terrestrial net primary production from remotely sensed data. J. Geophys. Res. 1994, 99, 5263-5283.
    • (1994) J. Geophys. Res. , vol.99 , pp. 5263-5283
    • Ruimy, A.1    Saugier, B.2    Dedieu, G.3
  • 28
    • 80051868302 scopus 로고    scopus 로고
    • Applicability of Green-Red Vegetation Index for remote sensing of vegetation phenology
    • Motohka, T.; Nasahara, K.N.; Oguma, H.; Tsuchida, S. Applicability of Green-Red Vegetation Index for remote sensing of vegetation phenology. Remote Sens. 2010, 2, 2369-2387.
    • (2010) Remote Sens. , vol.2 , pp. 2369-2387
    • Motohka, T.1    Nasahara, K.N.2    Oguma, H.3    Tsuchida, S.4
  • 29
    • 39749159233 scopus 로고    scopus 로고
    • A VARI-based relative greenness from MODIS data for computing the Fire Potential Index
    • Schneider, P.; Roberts, D.A.; Kyriakidis, P.C. A VARI-based relative greenness from MODIS data for computing the Fire Potential Index. Remote Sens. Environ. 2008, 112, 1151-1167.
    • (2008) Remote Sens. Environ. , vol.112 , pp. 1151-1167
    • Schneider, P.1    Roberts, D.A.2    Kyriakidis, P.C.3
  • 30
    • 59749092024 scopus 로고    scopus 로고
    • Atmospheric correction for the monitoring of land surfaces
    • Vermote, E.F.; Kotchenova, S. Atmospheric correction for the monitoring of land surfaces. J. Geophys. Res. Atmos. 2008, 113, 1-12.
    • (2008) J. Geophys. Res. Atmos. , vol.113 , pp. 1-12
    • Vermote, E.F.1    Kotchenova, S.2
  • 31
    • 33847670560 scopus 로고    scopus 로고
    • Hyperspectral remote sensing of plant pigments
    • Blackburn, G.A. Hyperspectral remote sensing of plant pigments. J. Exp. Bot. 2007, 58, 855-867.
    • (2007) J. Exp. Bot. , vol.58 , pp. 855-867
    • Blackburn, G.A.1
  • 32
    • 33845637951 scopus 로고    scopus 로고
    • Combining vegetation index and model inversion methods for the extraction of key vegetation biophysical parameters using Terra and Aqua MODIS reflectance data
    • Houborg, R.; Soegaard, H.; Boegh, E. Combining vegetation index and model inversion methods for the extraction of key vegetation biophysical parameters using Terra and Aqua MODIS reflectance data. Remote Sens. Environ. 2007, 106, 39-58.
    • (2007) Remote Sens. Environ. , vol.106 , pp. 39-58
    • Houborg, R.1    Soegaard, H.2    Boegh, E.3
  • 34
    • 1842431418 scopus 로고    scopus 로고
    • Hyperspectral vegetation indices and novel algorithms for predicting green LAI of crop canopies: Modeling and validation in the context of precision agriculture
    • Haboudane, D. Hyperspectral vegetation indices and novel algorithms for predicting green LAI of crop canopies: Modeling and validation in the context of precision agriculture. Remote Sens. Environ. 2004, 90, 337-352.
    • (2004) Remote Sens. Environ. , vol.90 , pp. 337-352
    • Haboudane, D.1
  • 35
    • 0035031849 scopus 로고    scopus 로고
    • Comparing prediction power and stability of broadband and hyperspectral vegetation indices for estimation of green leaf area index and canopy chlorophyll density
    • Broge, N.; Leblanc, E. Comparing prediction power and stability of broadband and hyperspectral vegetation indices for estimation of green leaf area index and canopy chlorophyll density. Remote Sens. Environ. 2000, 76, 156-172.
    • (2000) Remote Sens. Environ. , vol.76 , pp. 156-172
    • Broge, N.1    Leblanc, E.2
  • 36
    • 84937860942 scopus 로고    scopus 로고
    • Evaluating Multispectral images and vegetation indices for precision farming applications from UAV images
    • Candiago, S.; Remondino, F.; De Giglio, M.; Dubbini, M.; Gattelli, M. Evaluating Multispectral images and vegetation indices for precision farming applications from UAV images. Remote Sens. 2015, 7, 4026-4047.
    • (2015) Remote Sens. , vol.7 , pp. 4026-4047
    • Candiago, S.1    Remondino, F.2    De Giglio, M.3    Dubbini, M.4    Gattelli, M.5
  • 37
    • 84982286543 scopus 로고    scopus 로고
    • Adapting a regularized canopy reflectance model (REGFLEC) for the retrieval challenges of dryland agricultural systems
    • Houborg, R.; McCabe, M.F. Adapting a regularized canopy reflectance model (REGFLEC) for the retrieval challenges of dryland agricultural systems. Remote Sens. Environ. 2016, 186, 105-120.
    • (2016) Remote Sens. Environ. , vol.186 , pp. 105-120
    • Houborg, R.1    McCabe, M.F.2
  • 38
    • 84996576040 scopus 로고    scopus 로고
    • (accessed on 14 September
    • Landsat 8. Available online: http://landsat.usgs.gov/landsat8.php (accessed on 14 September 2016).
    • (2016) Landsat , vol.8
  • 39
    • 84923830705 scopus 로고    scopus 로고
    • Joint leaf chlorophyll content and leaf area index retrieval from Landsat data using a regularized model inversion system (REGFLEC)
    • Houborg, R.; McCabe, M.; Cescatti, A.; Gao, F.; Schull, M.; Gitelson, A. Joint leaf chlorophyll content and leaf area index retrieval from Landsat data using a regularized model inversion system (REGFLEC). Remote Sens. Environ. 2015, 159, 203-221.
    • (2015) Remote Sens. Environ. , vol.159 , pp. 203-221
    • Houborg, R.1    McCabe, M.2    Cescatti, A.3    Gao, F.4    Schull, M.5    Gitelson, A.6
  • 40
    • 33750169434 scopus 로고    scopus 로고
    • Validation of a vector version of the 6S radiative transfer code for atmospheric correction of satellite data
    • Kotchenova, S.Y.; Vermote, E.F.; Matarrese, R.; Klemm, F.J. Validation of a vector version of the 6S radiative transfer code for atmospheric correction of satellite data. Part I: Path radiance. Appl. Opt. 2006, 45, 6762-6774.
    • (2006) Part I: Path radiance. Appl. Opt. , vol.45 , pp. 6762-6774
    • Kotchenova, S.Y.1    Vermote, E.F.2    Matarrese, R.3    Klemm, F.J.4
  • 43
    • 84988700674 scopus 로고    scopus 로고
    • A Spatio-Temporal Enhancement Method for medium resolution LAI (STEM-LAI)
    • Houborg, R.; McCabe, M.F.; Gao, F. A Spatio-Temporal Enhancement Method for medium resolution LAI (STEM-LAI). Int. J. Appl. Earth Obs. Geoinf. 2016, 47, 15-29.
    • (2016) Int. J. Appl. Earth Obs. Geoinf. , vol.47 , pp. 15-29
    • Houborg, R.1    McCabe, M.F.2    Gao, F.3
  • 44
    • 84902080707 scopus 로고    scopus 로고
    • Operational data fusion framework for building frequent Landsat-like imagery
    • Wang, P.; Gao, F.; Masek, J.G. Operational data fusion framework for building frequent Landsat-like imagery. IEEE Trans. Geosci. Remote Sens. 2014, 52, 7353-7365.
    • (2014) IEEE Trans. Geosci. Remote Sens. , vol.52 , pp. 7353-7365
    • Wang, P.1    Gao, F.2    Masek, J.G.3
  • 47
    • 33750041371 scopus 로고    scopus 로고
    • Predicting tree species presence and basal area in Utah: A comparison of stochastic gradient boosting, generalized additive models, and tree-based methods
    • Moisen, G.G.; Freeman, E.A.; Blackard, J.A.; Frescino, T.S.; Zimmermann, N.E.; Edwards, T.C.; Jr. Predicting tree species presence and basal area in Utah: A comparison of stochastic gradient boosting, generalized additive models, and tree-based methods. Ecol. Model. 2006, 199, 176-187.
    • (2006) Ecol. Model. , vol.199 , pp. 176-187
    • Moisen, G.G.1    Freeman, E.A.2    Blackard, J.A.3    Frescino, T.S.4    Zimmermann, N.E.5    Edwards, T.C.6
  • 48
    • 84864187384 scopus 로고    scopus 로고
    • Forest biomass estimation from airborne LiDAR data using machine learning approaches
    • Gleason, C.J.; Im, J. Forest biomass estimation from airborne LiDAR data using machine learning approaches. Remote Sens. Environ. 2012, 125, 80-91.
    • (2012) Remote Sens. Environ. , vol.125 , pp. 80-91
    • Gleason, C.J.1    Im, J.2
  • 49
    • 55349114714 scopus 로고    scopus 로고
    • Subpixel urban land cover estimation: Comparing cubist, random forests, and support vector regression
    • Walton, J.T. Subpixel urban land cover estimation: Comparing cubist, random forests, and support vector regression. Photogramm. Eng. Remote Sens. 2008, 74, 1213-1222.
    • (2008) Photogramm. Eng. Remote Sens. , vol.74 , pp. 1213-1222
    • Walton, J.T.1
  • 50
    • 0025573324 scopus 로고
    • On the information content of soil reflectance spectra
    • Price, J.C. On the information content of soil reflectance spectra. Remote Sens. Environ. 1990, 33, 113-121.
    • (1990) Remote Sens. Environ. , vol.33 , pp. 113-121
    • Price, J.C.1
  • 51
    • 84937844470 scopus 로고    scopus 로고
    • Comparative analysis of different retrieval methods for mapping grassland leaf area index using airborne imaging spectroscopy
    • Atzberger, C.; Darvishzadeh, R.; Immitzer, M.; Schlerf, M.; Skidmore, A.; le Maire, G. Comparative analysis of different retrieval methods for mapping grassland leaf area index using airborne imaging spectroscopy. Int. J. Appl. Earth Obs. Geoinf. 2015, 43, 19-31.
    • (2015) Int. J. Appl. Earth Obs. Geoinf. , vol.43 , pp. 19-31
    • Atzberger, C.1    Darvishzadeh, R.2    Immitzer, M.3    Schlerf, M.4    Skidmore, A.5    le Maire, G.6


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