Journal of Geographical Sciences ›› 2017, Vol. 27 ›› Issue (4): 420-438.doi: 10.1007/s11442-017-1385-5
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Cristina NOYOLA-MEDRANO1(), Valeria Abigaíl MARTÍNEZ-SÍAS2
Received:
2016-03-18
Accepted:
2016-05-17
Online:
2017-04-20
Published:
2017-04-20
About author:
Author: Cristina Noyola-Medrano (1970-), specialized in natural resource and environmental remote sensing. E-mail:
Supported by:
Cristina NOYOLA-MEDRANO, Valeria Abigaíl MARTÍNEZ-SÍAS. Assessing the progress of desertification of the southern edge of Chihuahuan Desert:A case study of San Luis Potosi Plateau[J].Journal of Geographical Sciences, 2017, 27(4): 420-438.
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Table 1
List of images used in this study"
IMAGE | DATE | IMAGE | DATE | IMAGE | DATE |
---|---|---|---|---|---|
LT5028043 | 03-16-1990 | LT5028044 | 03-16-1990 | LT5029044 | 03-07-1990 |
LT5028043 | 04-15-1995 | LT5028044 | 04-15-1995 | LT5029044 | 04-22-1995 |
LT5028043 | 03-11-2000 | LT5028044 | 03-11-2000 | LT5029044 | 04-19-2000 |
LT5028043 | 03-09-2005 | LT5028044 | 03-09-2005 | LT5029044 | 02-28-2005 |
LT5028043 | 04-27-2011 | LT5028044 | 04-27-2011 | LT5029044 | 04-02-2011 |
Table 3
Parameters used to perform field verification"
Green vegetation (%) | Moisture (%) | Surface temperature (°C) | Desert varnish (%) | Desiccation cracks (%) | Desertification probability |
---|---|---|---|---|---|
>80 | >40 | <20 | >50 | 0 | Very low |
60-80 | 30-40 | 20-22.5 | 40-50 | 0 | Low |
40-60 | 20-30 | 22.5-25 | 30-40 | 0-10 | Moderate |
20-40 | 10-20 | 25-27.5 | 20-30 | 10-20 | High |
<20 | <10 | >27.5 | <20 | >20 | Very high |
Table 5
Confusion matrix showing the agreement between field observations (columns) and the estimated data (rows)"
Very high | High | Moderate | Low | Very low | Total | User accuracy | Error of commission | |
---|---|---|---|---|---|---|---|---|
Very high | 1 | 0 | 0 | 0 | 0 | 1 | 1.0 | 0.0 |
High | 0 | 1 | 0 | 0 | 0 | 1 | 1.0 | 0.0 |
Moderate | 0 | 0 | 3 | 0 | 0 | 3 | 1.0 | 0.0 |
Low | 0 | 0 | 0 | 5 | 0 | 5 | 1.0 | 0.0 |
Very Low | 0 | 0 | 1 | 2 | 7 | 10 | 0.7 | 0.3 |
Total | 1 | 1 | 4 | 7 | 7 | 20 | ||
Producer accuracy | 1.0 | 1.0 | 0.8 | 0.7 | 1 | |||
Error of omission | 0.0 | 0.0 | 0.2 | 0.3 | 0.0 |
Figure 10
Comparison of the behavior of a) NDVI, b) ST, c) IO, and d) NDWI with precipitation or temperature obtained from the National Weather Service. The data of temperature and precipitation are the average of 15 days before the dates analyzed in this work. The standards were obtained based on information from 50 climatological stations."
Table 6
Average values obtained during each period analyzed for a) NDVI, b) ST, c) IO and d) NDWI. Subsection e) corresponds to the average value of the total balance for each factor"
a) Years | Minimum | Maximum | Average |
---|---|---|---|
1990-1995 | -0.59 | 0.63 | 0.01 |
1995-2000 | -0.61 | 0.58 | 0.02 |
2000-2005 | -0.47 | 0.67 | 0.11 |
2005-2011 | -0.62 | 0.52 | -0.01 |
b) Years | Minimum | Maximum | Average |
1990-1995 | -14.63 | 14.34 | -1.93 |
1995-2000 | -18.19 | 9.01 | -0.85 |
2000-2005 | -13.26 | 18.7 | 8.90 |
2005-2011 | -28.01 | -7.89 | -5.86 |
c) Years | Minimum | Maximum | Average |
1990-1995 | -3.37 | 1.50 | -0.15 |
1995-2000 | -1.63 | 2.75 | -0.04 |
2000-2005 | -0.65 | 0.70 | 0.08 |
2005-2011 | -1.5 | 0.63 | -0.1 |
d)Years | Minimum | Maximum | Average |
1990-1995 | -1.03 | 1.94 | 0.51 |
1995-2000 | -1.38 | 1.16 | -0.06 |
2000-2005 | -1.27 | 1.36 | 0.16 |
2005-2011 | -1.28 | 1.08 | -0.14 |
e) Variable | Average | ||
NDVI | 0.03 | ||
ST | -3.77 | ||
NDWI | 0.26 | ||
IO | -0.07 |
[1] |
Becerril-Piña R, Mastachi-Loza C A, González-Sosa E et al., 2015. Assessing desertification risk in the semi-arid highlands of central Mexico.Journal of Arid Environments, 120: 4-13. doi: 10.1016/j.jaridenv.2015.04.006.
doi: 10.1016/j.jaridenv.2015.04.006 |
[2] |
Chander G, Markham B L, Helder D L, 2009. Summary of current radiometric calibration coefficients for Landsat MSS, TM, ETM+, and EO-1 ALI sensors.Remote Sensing of Environment, 113(5): 893-903. doi: 10.1016/j.rse.2009.01.007.
doi: 10.1016/j.rse.2009.01.007 |
[3] |
Collado D A, Chuvieco E, Camarasa A, 2002. Satellite remote sensing analysis to monitor desertification processes in the crop-rageland boundary of Argentina.Journal of Arid Environments, 52(1): 121-133. doi: 10.1006/jare.2001.0980.
doi: 10.1006/jare.2001.0980 |
[4] |
Dardel C, Kergoat L, Hiernaux P et al., 2014. Re-greening Sahel: 30 years of remote sensing data and field observations (Mali, Niger).Remote Sensing of Environment, 140: 350-364. doi: 10.1016/j.rse.2013.09.011.
doi: 10.1016/j.rse.2013.09.011 |
[5] | Díaz-Padilla G, Sánchez-Cohen I, Guajardo-Panes R A et al., 2011. Mapping of the aridity index and its populations distribution in Mexico.Revista Chapingo. Serie Ciencias Forestales y del Ambiente, 17(SPE): 267-275. doi: 10.5154/r.rchscfa.2010.09.069. |
[6] |
De Waroux Y L P, Lambin E F, 2012. Monitoring degradation in arid and semi-arid forests and woodlands: The case of the argan woodlands (Morocco).Applied Geography, 32(2): 777-786. doi: 10.1016/j.apgeog.2011.08.005.
doi: 10.1016/j.apgeog.2011.08.005 |
[7] | Dorn R I, 1986. Rock varnish as an indicator of aeolian environmental change. In: Nickling W G (ed.). Aeolian Geomorphology. Boston: Allen & Unwin, p. 291-307. |
[8] | Drury S, 1987. Image Interpretation in Geology. London: Allen and Unwin, p. 243. |
[9] | Ezcurra E, 2006. Global Deserts Outlook. United Nations Environment Programme (UNEP): Nairobi, 148 p. . |
[10] | Galindo A S, García M E, 1986. Usos del mezquite (Prosopis L.) en el Altiplano Potosino.Agrociencia, 63: 7-16. |
[11] |
Gamo M, Shinoda M, Maeda T, 2013. Classification of arid lands, including soil degradation and irrigated areas, based on vegetation and aridity indices.International Journal of Remote Sensing, 34(19): 6701-6722. doi: 10.1080/01431161.2013.805281.
doi: 10.1080/01431161.2013.805281 |
[12] |
Gao B C, 1996. NDWI: A normalized difference water index for remote sensing of vegetation liquid water from space.Remote Sensing of Environment, 58(3): 257-266. doi: 10.1016/S0034-4257(96)00067-3.
doi: 10.1016/S0034-4257(96)00067-3 |
[13] | Granados-Sánchez D, Hernández-García M Á, Vázquez-Alarcón A et al., 2013. The processes of desertification and arid regions.Revista Chapingo. Serie Ciencias Forestales y del Ambiente, 19(1): 45-66. doi: 10.5154/r.rchscfa.2011.10.077. |
[14] |
Haboudane D, Bonn F, Royer A et al., 2002. Land degradation and erosion risk mapping by fusion of spectrally-based information and digital geomorphometric attributes.International Journal of Remote Sensing, 23(18): 3795-3820. doi: 10.1080/01431160110104638.
doi: 10.1080/01431160110104638 |
[15] | Helldén U, 1992. Desertification: Time for an assessment. Ambio, 20: 372–383. . |
[16] |
Helldén U, Tottrup C, 2008. Regional desertification: A global synthesis.Global and Planetary Change, 64(3/4): 169-176. doi: 10.1016/j.gloplacha.2008.10.006.
doi: 10.1016/j.gloplacha.2008.10.006 |
[17] |
Hernández H M, Gómez-Hinostrosa C, Bárcenas R T, 2001. Diversity, spatial arrangement, and endemism of Cactaceae in the Huizache area, a hot-spot in the Chihuahuan Desert.Biodiversity & Conservation, 10(7): 1097-1112. doi: 10.1023/A:1016606216041.
doi: 10.1023/A:1016606216041 |
[18] |
Huber-Sannwald E, Maestre F T, Herrick J E et al., 2006. Ecohydrological feedbacks and linkages associated with land degradation: A case study from Mexico.Hydrological Processes, 20(15): 3395-3411. doi: 10.1002/hyp.6337.
doi: 10.1002/hyp.6337 |
[19] |
Huete A R, Didan K, Miura T et al., 2002. Overview of the radiometric and biophysicial performance of the MODIS Vegetation Indices.Remote Sensing of Environment, 83: 195-213. doi: 10.1016/S0034-4257(02) 00096-2.
doi: 10.1016/S0034-4257(02)00096-2 |
[20] | INEGI, 2012. Anuario de estadísticas por entidad federativa. Aguascalientes, México. Available at: . Accessed 15 August 2013. |
[21] |
Li H, Wang X F, Gao Y Q, 2004. Analysis and assessment of land desertification in Xinjiang based on RS and GIS.Journal of Geographical Sciences, 14(2): 159-166. doi: 10.1007/BF02837531.
doi: 10.1007/BF02837531 |
[22] |
Miranda-Aragón L, Treviño-Garza E J, Jiménez-Pérez J et al., 2012. NDVI-rainfall relationship using hyper-temporal satellite data in a portion of North Central Mexico (2000-2010).African Journal of Agricultural Research, 7(6): 1023-1033. doi: 10.5897/AJAR11.1674.
doi: 10.5897/AJAR11.1674 |
[23] | Miranda-Aragón L, Treviño-Garza E J, Jiménez-Pérez J et al., 2013. Tasa de deforestación en San Luis Potosí, México (1993-2007).Revista Chapingo. Serie Ciencias Forestales y del Ambiente, 19(2): 201-215. doi: 10.5154/r.rchscfa.2011.06.044. |
[24] | Moreira-Rivera F, Martínez-Rodríguez L, Palacios-García R et al., 1996. Carta Geológico-Minera Matehuala (F14-1). 1a edición. Servicio Geológico Mexicano, Pachuca, Hidalgo, México. |
[25] | Null J, 2013. El Niño and La Niña years and intensities. Available at . Accessed 20 September 2013. |
[26] |
Ouedraogo I, Runge J, Eisenberg J et al., 2014. The re-greening of the Sahel: Natural cyclicity or human-induced change?Land, 3(3): 1075-1090. doi: 10.3390/land3031075.
doi: 10.3390/land3031075 |
[27] |
Oyama M D, Nobre C A, 2004. Climatic consequences of a large-scale desertification in Northeast Brazil: A GCM simulation study.Journal of Climate, 17(16): 3203-3213. doi: <ext-link ext-link-type="doi" xlink:href="1009-637X-27-4-420/1520-0442(2004)017<3203: CCOALD>2.0.CO">10.1175/1520-0442(2004)017<3203: CCOALD>2.0.CO;2.
doi: 10.1175/1520-0442(2004)0172.0.CO;2 |
[28] | Pando-Moreno M, Gutiérrez G, Maldonado H et al., 2002. Evaluación de los procesos de desertificación en una cuenca hidrológica del NE de México. Ciencia UANL, 5(4): 519-524. |
[29] |
Reynolds J F, Smith D M S, Lambin E F et al., 2007. Global desertification: Building a science for dryland development.Science, 316(5826): 847-851. doi: 10.1126/science.1131634.
doi: 10.1126/science.1131634 pmid: 17495163 |
[30] |
Roth D, Moreno-Sanchez R, Torres-Rojo J M et al., 2016. Estimation of human induced disturbance of the environment associated with 2002, 2008 and 2013 land use/cover patterns in Mexico.Applied Geography, 66: 22-34. doi: 10.1016/j.apgeog.2015.11.009.
doi: 10.1016/j.apgeog.2015.11.009 |
[31] |
Sánchez J M, Kustas W P, Caselles V et al., 2008. Modelling surface energy fluxes over maize using a two-source patch model and radiometric soil and canopy temperature observations.Remote Sensing of Environment, 112(3): 1130-1143. doi: 10.1016/j.rse.2007.07.018.
doi: 10.1016/j.rse.2007.07.018 |
[32] |
Santini M, Caccamo G, Laurenti A et al., 2010. A multi-component GIS framework for desertification risk assessment by an integrated index.Applied Geography, 30(3): 394-415. doi: 10.1016/j.apgeog.2009.11.003.
doi: 10.1016/j.apgeog.2009.11.003 |
[33] |
Spatz D M, Taranik J V, Hsu L C, 1989. Differetiating volcanic rock assemblages using Landsat Thematic Mapper data-Influence of petrochemistry and desert varnish.Advances in Space Research, 9(1): 93-98. doi: 10.1016/0273-1177(89)90472-9.
doi: 10.1016/0273-1177(89)90472-9 |
[34] |
Sun W, Shao Q, Liu J, 2013. Soil erosion and its response to the changes of precipitation and vegetation cover on the Loess Plateau.Journal of Geographical Sciences, 23(6): 1091-1106. doi: 10.1007/s11442-013-1065-z.
doi: 10.1007/s11442-013-1065-z |
[35] |
Tao W, 2004. Progress in sandy desertification research of China.Journal of Geographical Sciences, 14(4): 387-400. doi: 10.1007/BF02837482.
doi: 10.1007/BF02837482 |
[36] |
Tereshchenko I, Zolotokrylin A N, Titkova T B et al., 2012. Seasonal variation of surface temperature-modulating factors in the Sonoran Desert in northwestern Mexico.Journal of Applied Meteorology and Climatology, 51(8): 1519-1530. doi: 10.1175/JAMC-D-11-0160.1.
doi: 10.1175/JAMC-D-11-0160.1 |
[37] |
Tucker C J, Dregne H E, Newcombe W W, 1991. Expansion and contraction of the Sahara desert from 1980 to 1990.Science, 253: 299-301. doi: 10.1126/science.253.5017.299.
doi: 10.1126/science.253.5017.299 pmid: 17794695 |
[38] | USDA-NRCS, 1998. Estimating soil moisture by feel and appearance. Program Aid No.1619. USDA-NRCS, Washington, DC. |
[39] | Ustin S L, Palacios-Orueta A, Whiting M L et al., 2009. Remote sensing based assessment of biophysical indicators for land degradation and desertification. In: Röder A, Hill J (eds.). Tecent Advances in Remote Sensing and Geoinformation Processing for Land Degradation Assessment. London: CRC Press, 15-44 |
[40] |
Xu D, Li C, Zhuang D et al., 2011. Assessment of the relative role of climate change and human activities in desertification: A review.Journal of Geographical Sciences, 21(5): 926-936. doi: 10.1007/s11442-011-0890-1.
doi: 10.1007/s11442-011-0890-1 |
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