Wetland landscape spatio-temporal degradation dynamics using the new google earth engine cloud-based platform: Opportunities for non-specialists in remote sensing

Transactions of the ASABE

Volumn 59, Issue 5, 2016, Pages 1333-1344

  Alonso, A ^a   Munoz Carpena R ^a   Kennedy, R E ^b   Murcia, C ^c  

^a University of Florida   (United States)

^b OREGON STATE UNIVERSITY   (United States)

^c Organization for Tropical Studies   (United States)

Author keywords

Data; Google Earth Engine; Mapping; NDVI; Remote sensing; Time series; Wetland

Indexed keywords

ENGINES; FACSIMILE; MAPPING; QUALITY CONTROL; RADIOMETERS; TIME SERIES; TIME SERIES ANALYSIS; VEGETATION; WATERSHEDS; WETLANDS;

CLOUD BASED PLATFORMS; COUPLED HUMAN-NATURAL SYSTEMS; DATA; GOOGLE EARTHS; NDVI; NORMALIZED DIFFERENCE VEGETATION INDEX; PRECIPITATION PATTERNS; REMOTE SENSING INFORMATION;

REMOTE SENSING;

ADAPTIVE MANAGEMENT; DATA PROCESSING; ENVIRONMENTAL CHANGE; ENVIRONMENTAL DEGRADATION; GROUND-BASED MEASUREMENT; IMAGE ANALYSIS; IMAGE PROCESSING; MODIS; NDVI; REMOTE SENSING; SATELLITE IMAGERY; SPATIOTEMPORAL ANALYSIS; TIME SERIES ANALYSIS; VEGETATION MAPPING; WETLAND;

COSTA RICA; GUANACASTE; PALO VERDE NATIONAL PARK;

BOS; TYPHA;

EID: 84998886362     PISSN: 21510032     EISSN: None     Source Type: Journal    
DOI: 10.13031/trans.59.11608     Document Type: Article

References (52)

1. Adam, E., Mutanga, O., & Rugege, D. (2010). Multispectral and hyperspectral remote sensing for identification and mapping of wetland vegetation: A review. Wetlands Ecol. Mgmt., 18(3), 281-296. http://dx.doi.org/10.1007/s11273-009-9169-z
2. Boyd, D. S., & Danson, F. M. (2005). Satellite remote sensing of forest resources: Three decades of research development. Prog. Phys. Geog., 29(1), 1-26. http://dx.doi.org/10.1191/0309133305pp432ra
3. Calvo-Alvarado, J., & Arias, O. R. (2005). Estudio de intercepción de lluvia de palo verde (Parkinsonia aculeata) en el Parque Nacional Palo Verde, Guanacaste, Costa Rica. Cartago, Costa Rica: Instituto Tecnológico de Costa Rica. San José, Costa Rica: Organization for Tropical Studies.
4. Calvo-Alvarado, J., & Arias, O. R. (2006). Estudio de evapotraspiración de la tifa (Typha domingensis) en el Parque Nacional Palo Verde, Guanacaste, Costa Rica. Cartago, Costa Rica: Instituto Tecnológico de Costa Rica. San José, Costa Rica: Organization for Tropical Studies.
5. Campo-Bescós, M. A., Muñoz-Carpena, R., Kaplan, D. A., Southworth, J., Zhu, L., & Waylen, P. R. (2013). Beyond precipitation: Physiographic gradients dictate the relative importance of environmental drivers on savanna vegetation. PLoS One, 8(8), e72348. http://dx.doi.org/10.1371/journal.pone.0072348.s005
6. Castillo-Núñez, M., & Guzmán Álvarez, J. A. (2004). Cambios en cobertura vegetal en Palo Verde según SIG. Ambientico, 129, 4-6.
7. Chen, L., Jin, Z., Michishita, R., Cai, J., Yue, T., Chen, B., & Xu, B. (2014). Dynamic monitoring of wetland cover changes using time-series remote sensing imagery. Ecol. Informatics, 24, 17-26. http://dx.doi.org/10.1016/j.ecoinf.2014.06.007
8. Christensen, E. J., Jensen, J. R., Ramsey, E. W., & Mackey, H. E. (1988). Aircraft MSS data registration and vegetation classification for wetland change detection. Intl. J. Remote Sens., 9(1), 23-38. http://dx.doi.org/10.1080/01431168808954834
9. Cohen, W. B., & Goward, S. N. (2004). Landsat's role in ecological applications of remote sensing. BioScience, 54(6), 535-545. http://dx.doi.org/10.1641/0006-3568(2004)054[0535:lrieao]2.0.co;2
10. Convertino, M., Muñoz-Carpena, R., & Murcia, C. (2016). "Reading the minds" for quantitative sustainability: Assessing stakeholder mental models via probabilistic text analysis. In J. Zhang, L. F. Luna-Reyes, T. A. Pardo, & D. S. Sayogo (Eds.), Information, models, and sustainability: Policy informatics in the age of big data and open government (pp. 21-38). Cham, Switzerland: Springer International.
11. Daniels, A. E. (2004). Protected area management in the watershed context: A case study of Palo Verde National Park, Costa Rica. MS thesis. Gainesville, FL: University of Florida.
12. Daniels, A. E., & Cumming, G. S. (2008). Conversion or conservation? Understanding wetland change in northwest Costa Rica. Ecol. Appl., 18(1), 49-63. http://dx.doi.org/10.1890/06-1658.1
13. Dennison, W. C., Orth, R. J., Moore, K. A., Stevenson, J. C., Carter, V., Kollar, S.,.. Batiuk, R. A. (1993). Assessing water quality with submersed aquatic vegetation. BioScience, 43(2), 86-94. http://dx.doi.org/10.2307/1311969
14. Detto, M., Molini, A., Katul, G., Stoy, P., Palmroth, S., & Baldocchi, D. (2012). Causality and persistence in ecological systems: A nonparametric spectral Granger causality approach. American Naturalist, 179(4), 524-535. http://dx.doi.org/10.1086/664628
15. Finlayson, C. M., & Spiers, A. G. (1999). Global review of wetland resources and priorities for wetland inventory. Supervising Scientist Report 144. Wetlands International Publication 53. Canberra, Australia: Environment Australia, Supervising Scientist. Retrieved from https://www.environment.gov.au/system/files/resources/b7be7f6 8-4522-4aa5-8e86-de5cabd21645/files/ssr144-full-report-web.pdf
16. Golyandina, N., & Osipov, E. (2006). Caterpillar-SSA: Time series analysis and forecasting. St. Petersburg, Russia: St. Petersburg University, Department of Mathematics, GistaT Group. Retrieved from http://www.gistatgroup.com/cat/index.html.
17. Google. (2015). Google Earth Engine: A planetary-scale geospatial analysis platform. Mountain View, Cal.: Google Inc. Retrieved from https://earthengine.google.com
18. Gottschalk, T. K., Huettmann, F., & Ehlers, M. (2005). Review article: Thirty years of analysing and modelling avian habitat relationships using satellite imagery data: A review. Intl. J. Remote Sens., 26(12), 2631-2656. http://dx.doi.org/10.1080/01431160512331338041
19. Hansen, M. C., Potapov, P. V., Moore, R., Hancher, M., Turubanova, S. A., Tyukavina, A.,.. Townshend, J. R. (2013). High-resolution global maps of 21st-century forest cover change. Science, 342(6160), 850-853. http://dx.doi.org/10.1126/science.1244693
20. Hassani, H. (2007). Singular spectrum analysis: Methodology and comparison. J. Data Sci., 5, 239-257.
21. Hornberger, G. M., & Spear, R. C. (1981). An approach to the preliminary analysis of environmental systems. J. Environ. Mgmt., 12(1), 7-18.
22. Houhoulis, P. F., & Michener, W. K. (2000). Detecting wetland change: A rule-based approach using NWI and SPOT-XS data. Photogram. Eng. Remote Sens., 66(2), 205-211.
23. Huffaker, R., & Canavari, M. (2015). A nonlinear dynamics approach to evaluating the "realism" of food systems models. Rome, Italy: United Nations FAO. Retrieved from http://www.fao.org/fileadmin/templates/ags/docs/MUFN/CALL-FILES-EXPERT-2015/CFP3-05-Full-Paper.pdf
24. Jensen, J. R., Ramsey, E. W., Christensen, E. J., & Sharitz, R. P. (1987). Inland wetland change detection using aircraft MSS data. Photogram. Eng. Remote Sens., 53(521-529).
25. Jiménez, J., González, E., & Mateo-Vega, J. (2001). Perspectives for the integrated management of the Tempisque River basin, Costa Rica. San José, Costa Rica: Organization for Tropical Studies.
26. Justice, C., & Townshend, J. (2002). Special issue on the moderate resolution imaging spectroradiometer (MODIS): A new generation of land surface monitoring. Remote Sens. Environ., 83(1-2), 1-2. http://dx.doi.org/10.1016/S0034-4257(02)00083-4
27. Kennedy, R. E., Andréfouët, S., Cohen, W. B., Gómez, C., Griffiths, P., Hais, M.,.. Zhu, Z. (2014). Bringing an ecological view of change to Landsat-based remote sensing. Front. Ecol. Environ., 12(6), 339-346. http://dx.doi.org/10.1890/130066
28. Kennedy, R. E., Townsend, P. A., Gross, J. E., Cohen, W. B., Bolstad, P., Wang, Y. Q., & Adams, P. (2009). Remote sensing change detection tools for natural resource managers: Understanding concepts and tradeoffs in the design of landscape monitoring projects. Remote Sens. Environ., 113(7), 1382-1396. http://dx.doi.org/10.1016/j.rse.2008.07.018
29. Kushwaha, S. P. S., Dwivedi, R. S., & Rao, B. R. M. (2000). Evaluation of various digital image processing techniques for detection of coastal wetlands using ERS-1 SAR data. Intl. J. Remote Sens., 21(3), 565-579. http://dx.doi.org/10.1080/014311600210759
30. Larsen, L., Thomas, C., Eppinga, M., & Coulthard, T. (2014). Exploratory modeling: Extracting causality in complex systems. EOS, 95(32), 285-292.
31. Lu, D., Mausel, P., Brondizio, E., & Moran, E. (2004). Change detection techniques. Intl. J. Remote Sens., 25(12), 2365-2401. http://dx.doi.org/10.1080/0143116031000139863
32. Masek, J. G., Vermote, E. F., Saleous, N. E., Wolfe, R., Hall, F. G., Huemmrich, K. F.,.. Lim, T.-K. (2006). A Landsat surface reflectance dataset for North America, 1990-2000. IEEE Geosci. Remote Sens. Lett., 3(1), 68-72. http://dx.doi.org/10.1109/LGRS.2005.857030
33. McCoy, M. B., & Rodríguez, J. M. (1994). Cattail (Typha domingensis) eradication methods in the restoration of a tropical, seasonal, freshwater marsh. In W. J. Mitsch (Ed.), Global wetlands: Old world and new (pp. 469-482). Amsterdam, The Netherlands, Elsevier Science.
34. Mitsch, W. J., & Gosselink, J. G. (2000). The value of wetlands: Importance of scale and landscape setting. Ecol. Econ., 35(1), 25-33. http://dx.doi.org/10.1016/S0921-8009(00)00165-8
35. Mitsch, W. J., & Gosselink, J. G. (2007). Wetlands. Hoboken, NJ: John Wiley & Sons.
36. Moreno-Mateos, D., Power, M. E., Comin, F. A., & Yockteng, R. (2012). Structural and functional loss in restored wetland ecosystems. PLoS Biol., 10(1), e1001247. http://dx.doi.org/10.1371/journal.pbio.1001247
37. Munyati, C. (2000). Wetland change detection on the Kafue Flats, Zambia, by classification of a multitemporal remote sensing image dataset. Intl. J. Remote Sens., 21(9), 1787-1806. http://dx.doi.org/10.1080/014311600209742
38. Osland, M. J., Gonzalez, E., & Richardson, C. J. (2011). Restoring diversity after cattail expansion: Disturbance, resilience, and seasonality in a tropical dry wetland. Ecol. Appl., 21(3), 715-728. http://dx.doi.org/10.1890/09-0981.1
39. Ottino, J. M. (2004). Engineering complex systems. Nature, 427(6973), 399-399. http://dx.doi.org/10.1038/427399a
40. Pittman, K., Hansen, M. C., Becker-Reshef, I., Potapov, P. V., & Justice, C. O. (2010). Estimating global cropland extent with multi-year MODIS data. Remote Sens., 2(7), 1844. http://dx.doi.org/10.3390/rs2071844
41. Ramsey, E. W., & Laine, S. C. (1997). Comparison of Landsat thematic mapper and high-resolution photography to identify change in complex coastal wetlands. J. Coastal Res., 13(2), 281-292. Retrieved from http://www.jstor.org/stable/4298625
42. Schreiber, T. (1999). Interdisciplinary application of nonlinear time series methods. Physics Reports, 308(1), 1-64.
43. Sugihara, G., May, R., Ye, H., Hsieh, C.-H., Deyle, E., Fogarty, M., & Munch, S. (2012). Detecting causality in complex ecosystems. Science, 338(6106), 496-500. http://dx.doi.org/10.1126/science.1227079
44. Trama, F. A., Rizo-Patrón, F. L., Kumar, A., González, E., Somma, D., & McCoy C., M. B. (2009). Wetland cover types and plant community changes in response to cattail-control activities in the Palo Verde Marsh, Costa Rica. Ecol. Restor., 27(3), 278-289. http://dx.doi.org/10.3368/er.27.3.278
45. Tucker, C., Pinzon, J., Brown, M., Slayback, D., Pak, E., Mahoney, R., Vermote, E., & El Saleus, N. (2005). An extended AVHRR 8-km NDVI dataset compatible with MODIS and SPOT vegetation NDVI data. Intl. J. Remote Sensing, 26(20), 4485-4498. http://doi.org/10.1080/01431160500168686
46. van Dam, R. A., Camilleri, C., & Finlayson, C. M. (1998). The potential of rapid assessment techniques as early warning indicators of wetland degradation: A review. Environ. Toxicol. Water Qual., 13(4), 297-312. http://dx.doi.org/10.1002/(SICI)1098-2256(1998)13:43.0.CO;2-2
47. Vaughan, C., McCoy, M., Fallas, J., Chaves, H., Barboza, G., Wong, G., & Carbonell, M. (1996). Plan de manejo y desarrollo del Parque Nacional Palo Verde y Reserva Biologica Lomas Barbudal. Contrato SENARA-BID-MINAE-UNA.
48. Wulder, M. A., & Masek, J. G. (2012). Preface to Landsat legacy special issue: Continuing the Landsat legacy. Remote Sens. Environ., 122, 1. http://dx.doi.org/10.1016/j.rse.2012.01.009
49. Xie, Y., Sha, Z., & Yu, M. (2008). Remote sensing imagery in vegetation mapping: A review. J. Plant Ecol., 1(1), 9-23. http://dx.doi.org/10.1093/jpe/rtm005
50. Zhao, B., Yan, Y., Guo, H., He, M., Gu, Y., & Li, B. (2009). Monitoring rapid vegetation succession in estuarine wetland using time series MODIS-based indicators: An application in the Yangtze River Delta area. Ecol. Indic., 9(2), 346-356. http://dx.doi.org/10.1016/j.ecolind.2008.05.009
51. Zhu, Z., & Woodcock, C. E. (2012). Object-based cloud and cloud shadow detection in Landsat imagery. Remote Sens. Environ., 118, 83-94. http://dx.doi.org/10.1016/j.rse.2011.10.028
52. Zuñiga, E. (1993). Districto de Riego Arenal Zapandi. Agronomia Costarricense, 17(2), 87-94.