Comparison of NDVI fields obtained from different remote sensors...

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Comparison of NDVI fields obtained from different remote sensors Location Two areas of Spanish Dehesa in the southwest of the Iberian Peninsula. Input data At the same time, remote sensing images were capture by DEIMOS-1 and MODIS of the chosen places. DEIMOS-1 is based on the concept Microsat-100 from Surrey. It is conceived for obtaining Earth images with a good enough resolution to study the terrestrial vegetation cover (20x20 m), although with a great range of visual field (600 km) in order to obtain those images with high temporal resolution and at a reduced cost. By contranst, MODIS images present a much lower spatial resolution (500x500 m). Method The aim of this study is to establish a comparison between two different sensors in their NDVI values at different spatial resolutions. Intro Juan Escribano Rodríguez [email protected] Carmelo Alonso [email protected] Ana M. Tarquis Alfonso [email protected] Rosa María Benito Carlos G. H. Díaz-Ambrona [email protected] Grupo de Sistemas Agrarios AgSystems, Departamento de Producción Vegetal: Fitotecnia. ETSI Agrónomos. CEIGRAM. Grupo de Sistemas Complejos, Departamento de Física. Universidad Politécnica de Madrid, 28040 Spain. Remote Sensing Department, Indra Espacio S.A., Madrid, Spain. Field trials in Spanish dehesas Maximum NDVI values were obtained when the vegetation of the pasture had higher photosynthetic activity always be greater than 0 and reaching values close to 1. When the scale of the satellite is lower, the NDVI is always greater, while a greater scale the NDVI obtained for the same areas is lower. European Geosciences Union General Assembly 2013Vienna, Austria, 7 – 12 April 2013 Results The estimate of the amount of pasture by remote sensing is more precisely with a smaller satellite scale against another with a larger scale as they have obtained higher values with smaller scale in all field trials and all dates. Acknowledgments This work was partially supported by ENESA under project P10 0220C-823. Funding provided by Spanish Ministerio de Ciencia e Innovación (MICINN) through project no. MTM2009-14621 and i-MATH No. CSD2006- 00032 is greatly appreciated. Satellite image data have become an important source of information for monitoring vegetation and mapping land cover at several scales. Beside this, the distribution and phenology of vegetation is largely associated with climate, terrain characteristics and human activity. Various vegetation indices have been developed for qualitative and quantitative assessment of vegetation using remote spectral measurements. In particular, sensors with spectral bands in the red (RED) and near-infrared (NIR) lend themselves well to vegetation monitoring and based on them [(NIR - RED) / (NIR + RED)] Normalized Difference Vegetation Index (NDVI) has been widespread used. IMAGEN NIR RED NDVI INSURANCE NDVI NP DEIMOS NDVI P DEIMOS H (q=1) H (q=2) ∆H (q) H (q=1) H (q=2) ∆H (q) H (q=1) H (q=2) ∆H (q) SALAMANCA_20120511 0.7059 0.6972 0.0480 0.6007 0.6210 0.0181 0.6435 0.6595 -0.0359 YELLOW 0.4097 SALAMANCA_20120629 0.6349 0.6253 0.0478 0.6801 0.6788 0.0128 0.6734 0.6883 -0.0241 ORANGE 0.1409 SALAMANCA_20120919 0.5450 0.5664 -0.0139 0.6136 0.6141 -0.0068 0.6451 0.6463 -0.0146 ORANGE 0.2373 CORDOBA_20120524 0.5827 0.5791 0.0220 0.6399 0.6362 0.0175 0.6810 0.6707 0.0380 RED 0.2874 0.2711 CORDOBA_20120620 0.5419 0.5481 -0.0237 0.6640 0.6581 0.0178 0.7011 0.6671 0.1274 RED 0.1984 0.1977 CORDOBA_20120718 0.4917 0.4987 -0.0222 0.5865 0.5850 0.0049 0.6485 0.6338 0.0470 ORANGE 0.1986 0.1927 CORDOBA_20121009 0.5403 0.5584 -0.0850 0.5868 0.6159 -0.1441 0.6824 0.6821 0.0012 ORANGE 0.3123 0.2535 0 2.000 4.000 6.000 8.000 10.000 12.000 14.000 16.000 18.000 0 50 100 150 200 250 Frequency Value Index NIR RED 0 10.000 20.000 30.000 40.000 50.000 60.000 -1,00 -0,50 0,00 0,50 1,00 Frequency Value Index NDVI 0 2.000 4.000 6.000 8.000 10.000 12.000 14.000 0 50 100 150 200 250 Frequency Value Index NIR RED 0 10.000 20.000 30.000 40.000 50.000 60.000 -1,00 -0,50 0,00 0,50 1,00 Frequency Value Index NDVI SALAMANCA_2012_05_11 CÓRDOBA_2012_07_18 -0.05 0.00 0.05 0.10 0.15 0.20 0.25 0.30 0 320 640 960 1280 1600 NDVI Scale (m) CORDOBA_20120524 CORDOBA_20120620 CORDOBA_20120718 CORDOBA_20121009 0.00 0.10 0.20 0.30 0.40 0.50 0.60 0 320 640 960 1280 1600 NDVI Scale (m) SALAMANCA_20120511 SALAMANCA_20120629 SALAMANCA_20120919 SALAMANCA CÓRDOBA Histogram of NIR, RED and NDVI for the two field trials in two specific dates Comparison of NDVI as the scale of the satellite

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Comparison of NDVI fields obtained from different remote sensors

Location Two areas of Spanish Dehesa in the southwest of the Iberian Peninsula. Input data At the same time, remote sensing images were capture by DEIMOS-1 and MODIS of the chosen places. DEIMOS-1 is based on the concept Microsat-100 from Surrey. It is conceived for obtaining Earth images with a good enough resolution to study the terrestrial vegetation cover (20x20 m), although with a great range of visual field (600 km) in order to obtain those images with high temporal resolution and at a reduced cost. By contranst, MODIS images present a much lower spatial resolution (500x500 m).

Method

The aim of this study is to establish a comparison between two different sensors in their NDVI values at different spatial resolutions.

Intro

Juan Escribano Rodríguez [email protected]

Carmelo Alonso [email protected]

Ana M. Tarquis Alfonso [email protected]

Rosa María Benito Carlos G. H. Díaz-Ambrona [email protected]

Grupo de Sistemas Agrarios AgSystems, Departamento de Producción Vegetal: Fitotecnia. ETSI Agrónomos. CEIGRAM. Grupo de Sistemas Complejos, Departamento de Física. Universidad Politécnica de Madrid, 28040 Spain. Remote Sensing Department, Indra Espacio S.A., Madrid, Spain.

Field trials in Spanish dehesas

Maximum NDVI values were obtained when the vegetation of the pasture had higher photosynthetic activity always be greater than 0 and reaching values close to 1. When the scale of the satellite is lower, the NDVI is always greater, while a greater scale the NDVI obtained for the same areas is lower.

European Geosciences Union General Assembly 2013Vienna, Austria, 7 – 12 April 2013

Results

The estimate of the amount of pasture by remote sensing is more precisely with a smaller satellite scale against another with a larger scale as they have obtained higher values with smaller scale in all field trials and all dates.

Acknowledgments This work was partially supported by ENESA under project P10 0220C-823. Funding provided by Spanish Ministerio de Ciencia e Innovación (MICINN) through project no. MTM2009-14621 and i-MATH No. CSD2006-00032 is greatly appreciated.

Satellite image data have become an important source of information for monitoring vegetation and mapping land cover at several scales. Beside this, the distribution and phenology of vegetation is largely associated with climate, terrain characteristics and human activity. Various vegetation indices have been developed for qualitative and quantitative assessment of vegetation using remote spectral measurements. In particular, sensors with spectral bands in the red (RED) and near-infrared (NIR) lend themselves well to vegetation monitoring and based on them [(NIR - RED) / (NIR + RED)] Normalized Difference Vegetation Index (NDVI) has been widespread used.

IMAGEN NIR RED NDVI INSURANCE NDVI NP DEIMOS

NDVI P DEIMOS H (q=1) H (q=2) ∆H (q) H (q=1) H (q=2) ∆H (q) H (q=1) H (q=2) ∆H (q)

SALAMANCA_20120511 0.7059 0.6972 0.0480 0.6007 0.6210 0.0181 0.6435 0.6595 -0.0359 YELLOW 0.4097 SALAMANCA_20120629 0.6349 0.6253 0.0478 0.6801 0.6788 0.0128 0.6734 0.6883 -0.0241 ORANGE 0.1409 SALAMANCA_20120919 0.5450 0.5664 -0.0139 0.6136 0.6141 -0.0068 0.6451 0.6463 -0.0146 ORANGE 0.2373 CORDOBA_20120524 0.5827 0.5791 0.0220 0.6399 0.6362 0.0175 0.6810 0.6707 0.0380 RED 0.2874 0.2711 CORDOBA_20120620 0.5419 0.5481 -0.0237 0.6640 0.6581 0.0178 0.7011 0.6671 0.1274 RED 0.1984 0.1977 CORDOBA_20120718 0.4917 0.4987 -0.0222 0.5865 0.5850 0.0049 0.6485 0.6338 0.0470 ORANGE 0.1986 0.1927 CORDOBA_20121009 0.5403 0.5584 -0.0850 0.5868 0.6159 -0.1441 0.6824 0.6821 0.0012 ORANGE 0.3123 0.2535

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Histogram of NIR, RED and NDVI for the two field trials in two specific dates Comparison of NDVI as the scale of the satellite