Seasonality of net radiation in two sub-basins of Paracatu by the use of modis sensor products

Lima, Evaldo Paiva; Sediyama, Gilberto Chohaku; Silva, Bernardo Barbosa; Gleriani, José Marinaldo; Soares, Vicente Paulo

doi:10.1590/s0100-69162012000600020

Cited by 9 publications

(6 citation statements)

References 7 publications

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“…The mean reduction of the standard deviation of the uncorrected images for the corrected images by the C correction was 5.97%. Lima et al (2012), testing different topographic correction methods in Landsat-5 / TM images, observed that there was also a reduction on the standard deviation of the corrected reflectance images for the uncorrected ones. The average reduction, found by these authors was 10.4%, which attributed this reduction as an indication of the normalization on the corrected reflectances.…”

Section: It Was Verified By Means Ofmentioning

confidence: 98%

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Topographic Aspects in the Spatial and Temporal Dynamic of Net Radiation

et al. 2017

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ABSTRACT:The measurements obtained by remote sensing are influenced by issues related to relief. Based on that, this paper aims to analyze the spatial and temporal dynamics of the net radiation (Rn), considering the influence of topographic parameters on it, in Edgárdia Experimental Farm (FEE). It was used the methodology based on the SEBAL algorithm (Surface Energy Balance Algorithm for Land) to estimate the net radiation by orbital images. In order to assess the topographic influence on the computing of net radiation, three methodologies were applied: without topographic correction (RnSem), cosine correction (RnCos) and C correction (RnC). These methodologies were applied on 21 images of the orbital platform Landsat-5/TM, from 1985 up to 2010. Due to the complex relief of the FEE, the cosine correction did not show effectiveness on the attenuation of topographic influence. For the values of RnC, we noticed an average reduction of 5.97% for the standard deviation, relative to the images without correction. These results show the importance of considering the relief, to achieve higher accuracies on the estimation of biophysical parameters with orbital images.

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Section: It Was Verified By Means Ofmentioning

confidence: 98%

“…A large number of researchers in the area of Agrarian Science have used geotechnologies in recent years to better understand the spatial dynamics of their studies (Andrade et al, 2014;Di Pace et al, 2008;Li et al, 2013;Lima et al, 2012;Menezes et al, 2009;Oliveira et al, 2014;Santos et al, 2014;Silva et al, 2005 andSousa, 2014).…”

Section: Introductionmentioning

confidence: 99%

Topographic Aspects in the Spatial and Temporal Dynamic of Net Radiation

et al. 2017

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“…NPP is largely influenced by many controlling factors including climate, microbial characteristics of soil, topographic disturbances and the anthropogenic activities [9]. Photosynthesis [10] and respiration [11] are the key processes of plant production that are indebted to sunlight. The impacts of sunlight on NPP have been analyzed in various ecosystems [8,12,13].…”

Section: Introductionmentioning

confidence: 99%

Estimation of Net Rice Production through Improved CASA Model by Addition of Soil Suitability Constant (ħα)

Raza

Mahmood

2018

Sustainability

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Net primary production (NPP) is an important indicator of the supply of food and wood. We used a hierarchy model and real time field observations to estimate NPP using satellite imagery. Net radiation received by rice crop canopies was estimated as 27,428 Wm −2 (215.4 Wm −2 as averaged) throughout the rice cultivation period (RCP), including 23,168 Wm −2 (118.3 Wm −2 as averaged) as shortwave and 4260 Wm −2 (34.63 Wm −2 as averaged) as longwave radiation. Soil, sensible and latent heat fluxes were approximated as 3324 Wm −2 , 16,549 Wm −2 , and 7554 Wm −2 , respectively. Water stress on rice crops varied between 0.5838 and 0.1218 from the start until the end of the RCP. Biomass generation declined from 6.09-1.03 g/m 2 in the tillering and ripening stages, respectively. We added a soil suitability constant (ħα) into the Carnegie-Ames-Stanford Approach (CASA) model to achieve a more precise estimate of yield. Classification results suggest that the total area under rice cultivation was 8861 km 2. The spatial distribution of rice cultivation as per suitability zone was: 1674 km 2 was not suitable (NS), 592 km 2 was less suitable (LS), 2210 km 2 was moderately suitable (MS) and 4385 km 2 was highly suitable (HS) soil type with ħα ranges of 0.05-0.25, 0.4-0.6, 0.7-0.75 and 0.85-0.95 of the CASA based yield, respectively. We estimated net production as 1.63 million tons, as per 0.46 ton/ha, 1.2 ton/ha 1.9 ton/ha and 2.4 ton/ha from NS, LS, MS and HS soil types, respectively. The results obtained through this improved CASA model, by addition of the constant ħα, are likely to be useful for agronomists by providing more accurate estimates of NPP.

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“…Although they have sensors for the direct measurement of global solar radiation, they not always have sensors for measurements of important physical constants or even sensors for routine measurements of net radiation (LIMA et al, 2012). This causes unavailability of local weather information for agroecological studies, radiometry, and agricultural forecast.…”

Section: Introductionmentioning

confidence: 99%

Validation study of an overall radiation balance estimation method under Ponta Grossa (PR) Brazil weather conditions

Beruski

Pereira

2014

Eng. Agríc.

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Radiation balance is the fraction of incident solar radiation upon earth surface which is available to be used in several natural processes, such as biological metabolism, water loss by vegetated surfaces, variation of temperature in farming systems and organic decomposition. The present study aimed to assess and validate the performance of two estimation models for Rn in Ponta Grossa city, Paraná State, Brazil. To this end, during the period of 04/01/2008 to 04/30/2011, from radiometric data collected by an automatic weather station set at the Experimental Station, of the State University of Ponta Grossa. We performed a linear regression study by confrontation between measurements made through radiometric balance and Rn estimates obtained from Brunt classical method, and the proposed method. Both models showed excellent performance and were confirmed by the statistical parameters applied. However, the alternative method has the advantage of requiring only global solar radiation values, temperature, and relative humidity.

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Seasonality of net radiation in two sub-basins of Paracatu by the use of modis sensor products

Cited by 9 publications

References 7 publications

Topographic Aspects in the Spatial and Temporal Dynamic of Net Radiation

Topographic Aspects in the Spatial and Temporal Dynamic of Net Radiation

Estimation of Net Rice Production through Improved CASA Model by Addition of Soil Suitability Constant (ħα)

Validation study of an overall radiation balance estimation method under Ponta Grossa (PR) Brazil weather conditions

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