Complementing satellites and unmanned aerial vehicles for rangeland assessment in Patagonia
DOI:
https://doi.org/10.25260/EA.19.29.3.0.791Abstract
Rangelands assessment in arid and semiarid regions is a key tool both for livestock management planning and environmental diagnoses. Even though there is a consensus on the utility of such tools, rangeland assessment with high detail (grain) while covering large areas or landscapes (extension) is too costly. Then, the compatibility between the resolution and quality of information and the spatial extent required to make decisions in livestock systems is still an operational challenge that has not found an effective solution. Thus, the use of satellite images for rangeland assessments in different environments has been growing steadily in the last two decades. The developments associated with the capture of images using unmanned aerial vehicles (UAVs) would offer many advantages as a complement to information, since they increase the spatial resolution. The aim of this work was to classify rangeland environments using satellite and UAV images and compare their respective contributions for rangeland assessments in Patagonia. In particular, spatial resolution of an unsupervised classification of rangeland environments using SPOT 7 satellite images and images captured by an optical sensor mounted on an UAV were compared. Rangeland assessment can be potentiated by the use of different sources of information in a more complementary and accessible way for environmental monitoring, and for a pastoral management planning in highly heterogeneous environments from arid and semiarid regions of Patagonia, Argentina.
https://doi.org/10.25260/EA.19.29.3.0.791
References
Aguiar, M. R., and O. E. Sala. 1999. Patch structure, dynamics and implications for the functioning of arid ecosystems. Trends in Ecology and Evolution 14:273-277. https://doi.org/10.1016/S0169-5347(99)01612-2.
Anderson, K., and K. J. Gaston. 2013. Lightweight unmanned aerial vehicles will revolutionize spatial ecology. Frontiers in Ecology and the Environment 11(3):138-146. https://doi.org/10.1890/120150.
Borrelli, P., G. Oliva, A. Cibils, P. Rial, and L. González. 2001. Evaluación de pastizales. Pp. 161-182 en P. Borrelli y G. Oliva (eds.). Ganadería ovina sustentable en la Patagonia Austral. Tecnología de Manejo Extensivo. PRODESAR, INTA-GTZ.
Duda, T., and P. Hart. 1973. Pattern classification and scene analysis. New York, John Wiley and Sons. Pp. 189.
Easdale, M. H., and M. R. Aguiar. 2012. Regional forage production assessment in arid and semi-arid rangelands–A step towards social-ecological analysis. Journal of Arid Environments 83:35-44. https://doi.org/10.1016/j.jaridenv.2012.03.002.
Elissalde, N., J. Escobar, and V. Nakamatsu. 2002. Inventario y evaluación de pastizales naturales de la zona árida y semiárida de la Patagonia. Programa de acción nacional de lucha contra la desertificación. Cooperación técnica argentino-alemana, Convenio SA y DS- INTA- GTZ. Pp. 45.
Gaitán, J. J., D. Bran, G. E. Oliva, G. Ciari, V. Nakamatsu, J. Salomone, D. Ferrante, G. Buono, V. Massara, G. Humano, and D. Celdrán. 2013. Evaluating the performance of multiple remote sensing indices to predict the spatial variability of ecosystem structure and functioning in Patagonian steppes. Ecological Indicators 34:181-191. https://doi.org/10.1016/j.ecolind.2013.05.007.
Golluscio, R. A., V. A. Deregibus, and J. M. Paruelo. 1998. Sustainability and range management in the Patagonian steppes. Ecología Austral 8:265-284.
Golluscio, R. 2009. Receptividad ganadera: marco teórico y aplicaciones prácticas. Ecología Austral 19:215-232.
Golluscio, R. A., M. E. Román, A. Cesa, D. Rodano, H. Bottaro, M. I. Nieto, A. Betelú, and L. A. Golluscio. 2010. Aboriginal settlements of arid Patagonia: Preserving bio-or sociodiversity? The case of the Mapuche pastoral Cushamen Reserve. Journal of Arid Environments 74(10):1329-1339. https://doi.org/10.1016/j.jaridenv.2010.05.012.
Green, K., D. Kempka, and L. Lackey. 1994. Using remote sensing to detect and monitor land-cover and land-use change. Photogrammetric Engineering and Remote Sensing 60(3):331-337.
Hardin, P. J., and R. R. Jensen. 2011. Small-scale unmanned aerial vehicles in environmental remote sensing: Challenges and opportunities. GIScience and Remote Sensing 48(1):99-111. https://doi.org/10.2747/1548-1603.48.1.99. https://doi.org/10.2747/1548-1603.48.1.1.
Huang, S., and F. Siegert. 2006. Land cover classification optimized to detect areas at risk of desertification in North China based on SPOT VEGETATION imagery. Journal of Arid Environments 67(2):308-327. https://doi.org/10.1016/j.jaridenv.2006.02.016.
Hung, W. C., Y. C. Chen, and K. S. Cheng. 2010. Comparing landcover patterns in Tokyo, Kyoto, and Taipei using ALOS multispectral images. Landscape and Urban Planning 97(2):132-145. https://doi.org/10.1016/j.landurbplan.2010.05.004.
Jobbágy, E. G., O. E. Sala, and J. M. Paruelo. 2002. Patterns and controls of primary production in the Patagonian steppe: a remote sensing approach. Ecology 83(2):307-319. https://doi.org/10.1890/0012-9658(2002)083[0307:PACOPP]2.0.CO;2. https://doi.org/10.2307/2680015.
Joyce, K. E., S. E. Belliss, S. V. Samsonov, S. J. McNeill, and P. J. Glassey. 2009. A review of the status of satellite remote sensing and image processing techniques for mapping natural hazards and disasters. Progress in Physical Geography 33(2):183-207. https://doi.org/10.1177/0309133309339563.
Kurtz, D. B., J. Schellberg, and M. Braun. 2010. Ground and satellite-based assessment of rangeland management in sub-tropical Argentina. Applied Geography 30(2):210-220. https://doi.org/10.1177/0309133309339563.
Laliberte, A. S., and A. Rango. 2009. Texture and scale in object-based analysis of subdecimeter resolution unmanned aerial vehicle (UAV) imagery. IEEE Transactions on Geoscience and Remote Sensing 47(3):761-770. https://doi.org/10.1109/TGRS.2008.2009355.
Ludwig, J. A., and D. J. Tongway. 1995. Spatial organisation of landscapes and its function in semi-arid woodlands, Australia. Landscape Ecology 10(1):51-63. https://doi.org/10.1007/BF00158553.
Ludwig, J. A., B. P. Wilcox, D. D. Breshears, D. J. Tongway, and A. C. Imeson. 2005. Vegetation patches and runoff–erosion as interacting ecohydrological processes in semiarid landscapes. Ecology 86(2):288-297. https://doi.org/10.1890/03-0569.
Morales, J. M., y S. P. Ellner. 2002. Scaling up animal movements in heterogeneous landscapes: the importance of behavior. Ecology 83(8):2240-2247. https://doi.org/10.1890/0012-9658(2002)083[2240:SUAMIH]2.0.CO;2.
Ormaechea, S. G., P. L. Peri, P. A. Cipriotti, and R. A. Distel. 2019. El cuadro de pastoreo en los sistemas extensivos de Patagonia Sur. Percepción y manejo de la heterogeneidad. Ecología Austral 29:174-184. https://doi.org/10.1890/0012-9658(2002)083[2240:SUAMIH]2.0.CO;2.
Paruelo, J. M., H. E. Epstein, W. K. Lauenroth, and I. C. Burke. 1997. ANPP estimates from NDVI for the central grassland region of the United States. Ecology 78(3):953-958. https://doi.org/10.1890/0012-9658(1997)078[0953:AEFNFT]2.0.CO;2.
Paruelo, J. M., R. A. Golluscio, J. P. Guerschman. A. Cesa, V. V. Jouve, and M. F. Garbulsky. 2004. Regional scale relationships between ecosystem structure and functioning. The case of the Patagonian steppes. Global Ecology and Biogeography 13(5):385-395. https://doi.org/10.1111/j.1466-822X.2004.00118.x.
Rango, A., A. Laliberte, C. Steele, J. E. Herrick, B. Bestelmeyer, T. Schmugge, A. Roanhorse, and V. Jenkins. 2006. Using unmanned aerial vehicles for rangelands: current applications and future potentials. Environmental Practice 8(3):159-168.
Rango, A., A. Laliberte, J. E. Herrick, C. Winters, K. Havstad, C. Steele, and D. Browning. 2009. Unmanned aerial vehicle-based remote sensing for rangeland assessment, monitoring, and management. Journal of Applied Remote Sensing 3(1):033542. https://doi.org/10.1017/S1466046606060224.
Reiche, J. L. R., A. L. Mitchell, J. Verbesselt, D. H. Hoekman, J. Haapaintner, J. M. Kellndorfer, A. Rosenqvist, E. A. Lehmann, C. E. Woodcock, and F. M. Seifert. 2016. Combining satellite data for better tropical forest monitoring. Nature Climate Change 6(2):120. https://doi.org/10.1038/nclimate2919.
Sarker, L. R., and J. E. Nichol. 2011. Improved forest biomass estimates using ALOS AVNIR-2 texture indices. Remote Sensing of Environment 115(4):968-977. https://doi.org/10.1016/j.rse.2010.11.010.
Siffredi, G. L., F. Boggio, H. Giorgetti, J. Ayesa, A. Kröpfl, and M. Álvarez. 2013. Guía para la Evaluación de Pastizales para las áreas ecológicas de Sierras y Mesetas Occidentales y de Monte de Patagonia Norte - 2da ed. Ediciones INTA, Bariloche. Pp. 69.
Tralli, D. M., R. G. Blom, V. Zlotnicki, A. Donnellan, and D. L. Evans. 2005. Satellite remote sensing of earthquake, volcano, flood, landslide and coastal inundation hazards. ISPRS Journal of Photogrammetry and Remote Sensing 59(4):185-198. https://doi.org/10.1016/j.isprsjprs.2005.02.002.
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