메뉴 건너뛰기




Volumn 39, Issue 15-16, 2018, Pages 5453-5471

Unmanned aerial vehicle-based remote sensing in monitoring smallholder, heterogeneous crop fields in Tanzania

Author keywords

[No Author keywords available]

Indexed keywords

ANTENNAS; CHLOROPHYLL; FERTILIZERS; FIXED WINGS; FOOD SUPPLY; NETWORK SECURITY; REMOTE SENSING; UNMANNED AERIAL VEHICLES (UAV); VEGETATION;

EID: 85044719758     PISSN: 01431161     EISSN: 13665901     Source Type: Journal    
DOI: 10.1080/01431161.2018.1455241     Document Type: Article
Times cited : (24)

References (38)
  • 1
    • 84993661871 scopus 로고    scopus 로고
    • A Comparison of UAV- and TLS-derived Plant Height for Crop Monitoring: Using Polygon Grids for the Analysis of Crop Surface Models (CSMS)
    • Bareth, G., J., Bendig, N., Tilly, D., Hoffmeister, H., Aasen, and A., Bolten. 2016. “A Comparison of UAV- and TLS-derived Plant Height for Crop Monitoring: Using Polygon Grids for the Analysis of Crop Surface Models (CSMS).” Photogrammetrie - Fernerkundung - Geoinformation 2016 (2): 85–94. doi:10.1127/pfg/2016/0289
    • (2016) Photogrammetrie - Fernerkundung - Geoinformation , vol.2016 , Issue.2 , pp. 85-94
    • Bareth, G.1    Bendig, J.2    Tilly, N.3    Hoffmeister, D.4    Aasen, H.5    Bolten, A.6
  • 3
    • 85044244423 scopus 로고    scopus 로고
    • Leaf Reflectance and Transmission Properties (350–2500 Nm): Implications for Vegetation Indices
    • Bernard, G. M., A., Edward, E. A., Cloutis, and P., Mann. 2017. “Leaf Reflectance and Transmission Properties (350–2500 Nm): Implications for Vegetation Indices.” Journal of near Infrared Spectroscopy 25 (2): 138–144. doi:10.1177/0967033516686043
    • (2017) Journal of near Infrared Spectroscopy , vol.25 , Issue.2 , pp. 138-144
    • Bernard, G.M.1    Edward, A.2    Cloutis, E.A.3    Mann, P.4
  • 4
    • 85010405946 scopus 로고    scopus 로고
    • Quantifying Fertilizer Application Response Variability with VHR Satellite NDVI Time Series in a Rainfed Smallholder Cropping System of Mali
    • Blaes, X., G., Chomé, M.-J., Lambert, P. S., Traoré, A. G. T., Schut, and P., Defourny. 2016. “Quantifying Fertilizer Application Response Variability with VHR Satellite NDVI Time Series in a Rainfed Smallholder Cropping System of Mali.” Remote Sensing 8 (6): 531. doi:10.3390/rs8060531
    • (2016) Remote Sensing , vol.8 , Issue.6 , pp. 531
    • Blaes, X.1    Chomé, G.2    Lambert, M.-J.3    Traoré, P.S.4    Schut, A.G.T.5    Defourny, P.6
  • 5
    • 84885742183 scopus 로고    scopus 로고
    • Remote Sensing of LAI, Chlorophyll and Leaf Nitrogen Pools of Crop and Grasslands in Five European Landscapes
    • Boegh, E., R., Houborg, J., Bienkowski, C. F., Braban, T., Dalgaard, N. V., Dijk, U., Dragosits, et al. 2013. “Remote Sensing of LAI, Chlorophyll and Leaf Nitrogen Pools of Crop and Grasslands in Five European Landscapes.” Biogeosciences 10 (10): 6279–6307. doi:10.5194/bg-10-6279-2013
    • (2013) Biogeosciences , vol.10 , Issue.10 , pp. 6279-6307
    • Boegh, E.1    Houborg, R.2    Bienkowski, J.3    Braban, C.F.4    Dalgaard, T.5    Dijk, N.V.6    Dragosits, U.7
  • 6
    • 85014282191 scopus 로고    scopus 로고
    • Satellite-Based Assessment of Yield Variation and Its Determinants in Smallholder African Systems
    • Burke, M., and D. B., Lobell. 2017. “Satellite-Based Assessment of Yield Variation and Its Determinants in Smallholder African Systems.” PNAS 114 (9): 2189–2194. doi:10.1073/pnas.1616919114
    • (2017) PNAS , vol.114 , Issue.9 , pp. 2189-2194
    • Burke, M.1    Lobell, D.B.2
  • 7
    • 84937860942 scopus 로고    scopus 로고
    • Evaluating Multispectral Images and Vegetation Indices for Precision Farming Applications from UAV Images
    • Candiago, S., F., Remondino, M., De Giglio, M., Dubbini, and M., Gattelli. 2015. “Evaluating Multispectral Images and Vegetation Indices for Precision Farming Applications from UAV Images.” Remote Sensing 7 (4): 4026–4047. doi:10.3390/rs70404026
    • (2015) Remote Sensing , vol.7 , Issue.4 , pp. 4026-4047
    • Candiago, S.1    Remondino, F.2    De Giglio, M.3    Dubbini, M.4    Gattelli, M.5
  • 8
    • 84911896398 scopus 로고    scopus 로고
    • Ames D.P., Quinn N.W.T., Rizzoli A.E., (eds), San Diego, CA: Inrenational Environmental Modeling and Software, and,. The PocketLAI smartphone app: An alternative method for, area index estimation The, International Congress of the International Environmental Modeling and Software Society Proceedings, edited by,. Accessed on 12 July 2016
    • Confalonieri, R., C., Francone, and M., Foi. 2014. “The PocketLAI smartphone app: An alternative method for Leaf area index estimation”. In The 7th International Congress of the International Environmental Modeling and Software Society Proceedings, edited by Ames, D. P., N. W. T., Quinn, and A. E., Rizzoli. San Diego, CA: Inrenational Environmental Modeling and Software. Accessed on 12 July 2016. www.iemss.org/society/index.php/iemss-2014-proceedings
    • (2014) Leaf , vol.7th
    • Confalonieri, R.1    Francone, C.2    Foi, M.3
  • 9
    • 85021150926 scopus 로고    scopus 로고
    • Evaluating Hyperspectral Vegetation Indices for Leaf Area Index Estimation of Oryza sativa L. At Diverse Phenological Stages
    • Din, M., W., Zheng, M., Rashid, S., Wang, and Z., Shi. 2017. “Evaluating Hyperspectral Vegetation Indices for Leaf Area Index Estimation of Oryza sativa L. At Diverse Phenological Stages.” Frontiers in Plant Science. doi:10.3389/fpls.2017.00820
    • (2017) Frontiers in Plant Science
    • Din, M.1    Zheng, W.2    Rashid, M.3    Wang, S.4    Shi, Z.5
  • 10
    • 85051960897 scopus 로고    scopus 로고
    • Enhancing the Effectiveness of Food Security Information Systems in SADC
    • Economic Commission for Africa 2011. “Enhancing the Effectiveness of Food Security Information Systems in SADC.” Issues Paper. https://www.uneca.org/sites/default/files/PublicationFiles/enhancing-the-effectiveness-of-food-security-information-systems-in-sadc_issues-paper.pdf
    • (2011) Issues Paper
  • 11
    • 84956602402 scopus 로고    scopus 로고
    • Monitoring Geomorphic and Hydrologic Change at Mine Sites Using Satellite Imagery: The Geita Gold Mine in Tanzania
    • Emel, J., J., Plisinski, and J., Rogan. 2014. “Monitoring Geomorphic and Hydrologic Change at Mine Sites Using Satellite Imagery: The Geita Gold Mine in Tanzania.” Applied Geography 54: 243–249. doi:10.1016/j.apgeog.2014.07.009
    • (2014) Applied Geography , vol.54 , pp. 243-249
    • Emel, J.1    Plisinski, J.2    Rogan, J.3
  • 14
    • 1442315675 scopus 로고    scopus 로고
    • Wide Dynamic Range Vegetation Index for Remote Quantification of Biophysical Characteristics of Vegetation
    • Gitelson, A. A., 2004. “Wide Dynamic Range Vegetation Index for Remote Quantification of Biophysical Characteristics of Vegetation.” Journal of Plant Physiology 161: 165–173. doi:10.1078/0176-1617-01176
    • (2004) Journal of Plant Physiology , vol.161 , pp. 165-173
    • Gitelson, A.A.1
  • 16
    • 0025623673 scopus 로고
    • Optical Properties of Vegetation Canopies
    • Steven M.D., Clarck J.A., (eds), London: Butterworths,. edited by
    • Guyot, G., 1990. “Optical Properties of Vegetation Canopies.” In Applications of Remote Sensing in Agriculture, edited by M. D., Steven and J. A., Clarck, 19–43. London: Butterworths
    • (1990) Applications of Remote Sensing in Agriculture , pp. 19-43
    • Guyot, G.1
  • 18
    • 84942518161 scopus 로고    scopus 로고
    • Assessment of an Operational System for Crop Type Map Production Using High Temporal and Spatial Resolution Satellite Optical Imagery
    • Inglada, J., M., Arias, B., Tardy, O., Hagolle, S., Valero, D., Morin, G., Dedieu, et al. 2015. “Assessment of an Operational System for Crop Type Map Production Using High Temporal and Spatial Resolution Satellite Optical Imagery.” Remote Sensing 7 (9): 12356–12379. doi:10.3390/rs70912356
    • (2015) Remote Sensing , vol.7 , Issue.9 , pp. 12356-12379
    • Inglada, J.1    Arias, M.2    Tardy, B.3    Hagolle, O.4    Valero, S.5    Morin, D.6    Dedieu, G.7
  • 19
    • 84930036110 scopus 로고    scopus 로고
    • Seasonal Vegetation Changes in the Malinda Wetland Using Bi-Temporal, Multi-Sensor, Very High Resolution Remote Sensing Data Sets
    • Kuria, D., G., Menz, S., Misana, E., Mwita, H., Thamm, M., Alvarez, N., Mogha, M., Becker, and H., Oyieke. 2014. “Seasonal Vegetation Changes in the Malinda Wetland Using Bi-Temporal, Multi-Sensor, Very High Resolution Remote Sensing Data Sets.” Advances in Remote Sensing 3: 33–48. doi:10.4236/ars.2014.31004
    • (2014) Advances in Remote Sensing , vol.3 , pp. 33-48
    • Kuria, D.1    Menz, G.2    Misana, S.3    Mwita, E.4    Thamm, H.5    Alvarez, M.6    Mogha, N.7    Becker, M.8    Oyieke, H.9
  • 22
    • 34047252132 scopus 로고    scopus 로고
    • Pedological Characteristics, General Fertility and Classification of Some Benchmark Soils of Morogoro District, Tanzania
    • Msanya, B. M., A. K., Kaaya, S., Araki, H., Otsuka, and G. I., Nyadzi. 2003. “Pedological Characteristics, General Fertility and Classification of Some Benchmark Soils of Morogoro District, Tanzania.” African Journal of Science and Technology 4 (2): 101–112. doi:10.4314/ajst.v4i2.15309
    • (2003) African Journal of Science and Technology , vol.4 , Issue.2 , pp. 101-112
    • Msanya, B.M.1    Kaaya, A.K.2    Araki, S.3    Otsuka, H.4    Nyadzi, G.I.5
  • 23
    • 5444267906 scopus 로고    scopus 로고
    • Narrow Band Vegetation Indices Overcome the Saturation Problem in Biomass Estimation
    • Mutanga, O., and A. K., Skidmore. 2004. “Narrow Band Vegetation Indices Overcome the Saturation Problem in Biomass Estimation.” International Journal of Remote Sensing 25 (19): 3999–4014. doi:10.1080/01431160310001654923
    • (2004) International Journal of Remote Sensing , vol.25 , Issue.19 , pp. 3999-4014
    • Mutanga, O.1    Skidmore, A.K.2
  • 25
    • 84902441873 scopus 로고    scopus 로고
    • Information Systems in a Changing Climate: Early Warnings and Drought Risk Management
    • Pulwarty, R. S., and M. V. K., Sivakumar. 2014. “Information Systems in a Changing Climate: Early Warnings and Drought Risk Management.” Weather and Climate Extremes 3: 14–21. doi:10.1016/j.wace.2014.03.005
    • (2014) Weather and Climate Extremes , vol.3 , pp. 14-21
    • Pulwarty, R.S.1    Sivakumar, M.V.K.2
  • 26
    • 85015677068 scopus 로고    scopus 로고
    • The Potential of UAV-based Remote Sensing for Supporting Precision Agriculture in Indonesia
    • Rokhmana, C. A., 2015. “The Potential of UAV-based Remote Sensing for Supporting Precision Agriculture in Indonesia.” Procedia Environmental Sciences 24: 245–253. doi:10.1016/j.proenv.2015.03.032
    • (2015) Procedia Environmental Sciences , vol.24 , pp. 245-253
    • Rokhmana, C.A.1
  • 27
    • 0002872223 scopus 로고
    • Monitoring Vegetation Systems in the Great Plains with ERTS
    • Freden S.C., Mercanti E.P., Becker M., (eds), Washington, DC: National Aeronautics and Space Administration, and,. edited by
    • Rouse, J. W., R. H., Haas, J. A., Schell, and D. W., Deering. 1974. “Monitoring Vegetation Systems in the Great Plains with ERTS.” In Third Earth Resources Technology Satellite-1 Symposium, Vol. 1: Technical Presentations, edited by S. C., Freden, E. P., Mercanti, and M., Becker. Washington, DC: National Aeronautics and Space Administration
    • (1974) Third Earth Resources Technology Satellite-1 Symposium, Vol. 1: Technical Presentations
    • Rouse, J.W.1    Haas, R.H.2    Schell, J.A.3    Deering, D.W.4
  • 29
    • 84891866626 scopus 로고    scopus 로고
    • Testing Remote Sensing Approaches for Assessing Yield Variability among Maize Fields
    • Sibley, M. A., P., Grassini, E. N., Thomas, G. K., Cassman, and B. D., Lobell. 2014. “Testing Remote Sensing Approaches for Assessing Yield Variability among Maize Fields.” Agronomy Journal 106: 24–32. doi:10.2134/agronj2013.0314
    • (2014) Agronomy Journal , vol.106 , pp. 24-32
    • Sibley, M.A.1    Grassini, P.2    Thomas, E.N.3    Cassman, G.K.4    Lobell, B.D.5
  • 30
    • 84976549939 scopus 로고    scopus 로고
    • Weather Index Insurance for Managing Drought Risk in Smallholder Agriculture: Lessons and Policy Implications for Sub-Saharan Africa
    • Tadesse, M. A., B. A., Shiferaw, and O., Erenstein. 2015. “Weather Index Insurance for Managing Drought Risk in Smallholder Agriculture: Lessons and Policy Implications for Sub-Saharan Africa.” Agricultural and Food Economics 3: 26. doi:10.1186/s40100-015-0044-3
    • (2015) Agricultural and Food Economics , vol.3 , pp. 26
    • Tadesse, M.A.1    Shiferaw, B.A.2    Erenstein, O.3
  • 31
    • 0018465733 scopus 로고
    • Red and Photographic Infrared Linear Combinations for Monitoring Vegetation
    • Tucker, C. J., 1979. “Red and Photographic Infrared Linear Combinations for Monitoring Vegetation.” Remote Sensing of Environment 8: 127–150. doi:10.1016/0034-4257(79)90013-0
    • (1979) Remote Sensing of Environment , vol.8 , pp. 127-150
    • Tucker, C.J.1
  • 33
    • 85051941287 scopus 로고    scopus 로고
    • Yield and Yield Components: A Practical Guide for Comparing Crop Management Practices
    • Verhulst, N., R., Cox, and B., Govaerts. 2013. “Yield and Yield Components: A Practical Guide for Comparing Crop Management Practices.” International Maize and Wheat Improvement Center (CIMMYT). http://libcatalog.cimmyt.org/download/cim/98391.pdf
    • (2013) International Maize and Wheat Improvement Center (CIMMYT)
    • Verhulst, N.1    Cox, R.2    Govaerts, B.3
  • 34
    • 27544454198 scopus 로고    scopus 로고
    • New Developments in the Remote Estimation of the Fraction of Absorbed Photosynthetically Active Radiation in Crops
    • Viña, A., and A. A., Gitelson. 2005. “New Developments in the Remote Estimation of the Fraction of Absorbed Photosynthetically Active Radiation in Crops.” Geophysical Research Letters 32 (17). doi:10.1029/2005GL023647
    • (2005) Geophysical Research Letters , vol.32 , Issue.17
    • Viña, A.1    Gitelson, A.A.2
  • 35
    • 81355146796 scopus 로고    scopus 로고
    • Comparison of Different Vegetation Indices for the Remote Assessment of Green Leaf Area Index of Crops
    • Viña, A., A. A., Gitelson, L. A., Nguy-Robertson, and Y., Peng. 2011. “Comparison of Different Vegetation Indices for the Remote Assessment of Green Leaf Area Index of Crops.” Journal Remote Sensing of Environment 115: 3468–3478. doi:10.1016/j.rse.2011.08.010
    • (2011) Journal Remote Sensing of Environment , vol.115 , pp. 3468-3478
    • Viña, A.1    Gitelson, A.A.2    Nguy-Robertson, L.A.3    Peng, Y.4
  • 36
    • 84971656995 scopus 로고    scopus 로고
    • Corn Response to Climate Stress Detected with Satellite-Based NDVI Time Series
    • Wang, R., K., Cherkauer, and L., Bowling. 2016. “Corn Response to Climate Stress Detected with Satellite-Based NDVI Time Series.” Remote Sensing 8 (4): 269. doi:10.3390/rs8040269
    • (2016) Remote Sensing , vol.8 , Issue.4 , pp. 269
    • Wang, R.1    Cherkauer, K.2    Bowling, L.3
  • 37
    • 84872804834 scopus 로고    scopus 로고
    • Monitoring Basin-Scale Land Cover Changes in Kagera Basin of Lake Victoria Using Ancillary Data and Remote Sensing
    • Wasige, J. E., T. A., Groen, E., Smalling, and V., Jetten. 2013. “Monitoring Basin-Scale Land Cover Changes in Kagera Basin of Lake Victoria Using Ancillary Data and Remote Sensing.” International Journal of Applied Earth Observation and Geoinformation 21: 32–42. doi:10.1016/j.jag.2012.08.005
    • (2013) International Journal of Applied Earth Observation and Geoinformation , vol.21 , pp. 32-42
    • Wasige, J.E.1    Groen, T.A.2    Smalling, E.3    Jetten, V.4
  • 38
    • 0033796457 scopus 로고    scopus 로고
    • A Generic Equation for Nitrogen-Limited Leaf Area Index and Its Application in Crop Growth Models for Predicting Leaf Senescence
    • Yin, X., A. H. C. M., Schapendonk, M. J., Kropff, M., van Oijen, and P. S., Binraban. 2000. “A Generic Equation for Nitrogen-Limited Leaf Area Index and Its Application in Crop Growth Models for Predicting Leaf Senescence.” Annals of Botany 85: 579–585. doi:10.1006/anbo.1999.1104
    • (2000) Annals of Botany , vol.85 , pp. 579-585
    • Yin, X.1    Schapendonk, A.H.C.M.2    Kropff, M.J.3    van Oijen, M.4    Binraban, P.S.5


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.