scholarly journals ÍNDICES HÍDRICOS PARA ÁREAS IRRIGADAS NA REGIÃO DE DESENVOLVIMENTO AGRÍCOLA PETROLINA/JUAZEIRO

Irriga ◽  
2017 ◽  
Vol 1 (1) ◽  
pp. 127-135 ◽  
Author(s):  
Antônio Heriberto De Castro Teixeira ◽  
Janice Freitas Leiva ◽  
Gustavo Bayma-Silva ◽  
Edlene Aparecida Monteiro Garçon
Keyword(s):  
Soil Moisture ◽  
Arid Region ◽  
Reference Evapotranspiration ◽  
Development Region ◽  
Irrigated Crops ◽  
Semi Arid Region ◽  
Moisture Conditions ◽  
Agriculture Development ◽  
Semi Arid ◽  
Better Than

   ÍNDICES HÍDRICOS PARA ÁREAS IRRIGADAS NA REGIÃO DE DESENVOLVIMENTO AGRÍCOLA PETROLINA/JUAZEIRO  ANTÔNIO HERIBERTO DE CASTRO TEIXEIRA1; JANICE FREITAS LEIVAS1; GUSTAVO BAYMA-SILVA1 E EDLENE APARECIDA MONTEIRO GARÇON1 ¹Departamento de Geociências, Embrapa Monitoramento por Satélite, Av. Soldado Passarinho, nº 303, Fazenda Jardim Chapadão CEP: 13070-115 - Campinas - SP, [email protected], [email protected], [email protected], [email protected]  1 Resumo Os algoritmos SAFER e o SUREAL foram usados com produtos MODIS na determinação da evapotranspiração atual (ET), sendo usada com dados de precipitação (P) e evapotranspiração de referência (ET0) para aplicação dos índices IH (P/ET) e ETr (ET/ET0), nas análises do balanço hídrico durante o ano de 2015, em áreas irrigadas da região de desenvolvimento agrícola Petrolina/Juazeiro, Nordeste do Brasil. Tanto para Petrolina como para Juazeiro, as maiores taxas da ET, chegando acima de 4,5 mm dia-1, ocorreram em fevereiro, devido ao suprimento hídrico conjunto das águas das chuvas e de irrigação para as plantas. Os valores mais baixos em novembro (ET < 2,2 mm dia-1) coincidiram com o final de ciclo generalizado das culturas agrícolas. Apesar de P na escala anual ter sido maior em Petrolina (230 mm) em 10% quando comparado com Juazeiro, a menor demanda atmosférica do segundo município resultou em um IH ligeiramente superior. Entretanto, as condições de umidade no solo em Petrolina (ETr = 0,70) foram melhores que às de Juazeiro (ETr = 0,61). Os resultados confirmam o potencial dos algoritmos para o monitoramento das condições hídricas das culturas irrigadas no semiárido brasileiro. PALAVRAS-CHAVE: Evapotranspiração, umidade de solo, irrigação.  TEIXEIRA, A. H. de C.; LEIVAS, J. F.; BAYMA-SILVA, G.; GARÇON, E. A. M.WATER INDICES FOR IRRIGATED AREAS IN THE PETROLINA/JUAZEIRO AGRICULTURE DEVELOPMENT REGION   2 ABSTRACT The SAFER and SUREAL algorithms were applied along with MODIS products for determining the actual evapotranspiration (ET), and then used together with precipitation (P) and reference evapotranspiration (ET0) data for application of the WI (P/ET) and ETr (ET/ET0) indices, for water balance analyses during the year 2015, in the irrigated areas of Petrolina/Juazeiro agriculture development region. Both for Petrolina and Juazeiro, the highest ET rates, reaching to above 4.5 mm d-1, took place in February, due to the joint water supply from rainfall and irrigation systems. The lowest indices were observed in November (ET < 2.2 mm d-1), coinciding with the end of the generalized irrigated crop growing cycles. Although P at the annual measurement being 10% higher in Petrolina (230 mm), when compared to Juazeiro, the lower atmospheric demand in the second municipality resulted in an WI slightly higher. However, the soil moisture conditions in Petrolina (ETr = 0.70) were better than those present in Juazeiro (ETr = 0.61). These results state the potential of the algorithms for monitoring the irrigated crops water conditions in the Brazilian semi-arid region. Keywords: Evapotranspiration, soil moisture, irrigation. 

scholarly journals Mapeamento da desertificação da Região de Desenvolvimento Sertão do São Francisco com base na cobertura vegetal e nas classes de solos (Desertification mapping of “Sertão” San Francisco Development Region based on the vegetation and the soil classes)

2015 ◽  
Vol 8 ◽  
pp. 510
Author(s):  
Iêdo Bezerra Sá ◽  
Tony Jarbas Ferreira Cunha ◽  
Tatiana Ayako Taura ◽  
Marcos Antônio Drumond
Keyword(s):  
San Francisco ◽  
Arid Region ◽  
The State ◽  
Soil Mapping ◽  
Semiarid Region ◽  
Environmental Services ◽  
Vegetation Types ◽  
Development Region ◽  
Semi Arid Region ◽  
Semi Arid

Na região Semiárida do Estado de Pernambuco existe grande diversidade na paisagem natural, onde a vegetação, os solos e o clima geram uma multiplicidade de situações que concorrem para formação de diferentes ecossistemas e habitats com grande potencial ecológico e ambiental. Nesta região, a vegetação é caracterizada por diferentes fisionomias, variando de áreas com formações arbustivas, com cobertura do solo muito escassa e quase ausente, a formações arbóreas com níveis de cobertura bastante densas. De modo análogo, nesta região ocorre uma grande variedade de solos, que por suas características, manejo e situação no relevo podem potencializar os processos erosivos, determinantes no desencadeamento da desertificação. Considerando as interrelações destas duas variáveis ambientais, este trabalho tem o objetivo de realizar um diagnóstico das áreas susceptíveis à desertificação da Região de Desenvolvimento Sertão do São Francisco - RDSF, tendo como base o cruzamento das informações da cobertura vegetal natural e das classes de solos. Para tanto, foram utilizados o recorte do mapeamento da cobertura vegetal e uso do solo e o recorte do mapeamento de solos da RDSF. Foram estabelecidos critérios para susceptibilidade da cobertura vegetal, assim como para as classes de solos presentes na área. Executou-se a intersecção destas duas bases de informação para o perfil da sensibilidade à desertificação. Os resultados mostram que a RDSF tem os seguintes valores das áreas em processos de desertificação: 1,77% na classe ausente ou fraca; 74,74% na classe moderada; 0,35% na classe acentuada e 23,14% na classe severa. Deste modo, observa-se que aproximadamente 98% da RDSF encontram-se na situação de sensibilidade à desertificação em que predominam as classes de Moderada a Severa. In the semiarid region of the state of Pernambuco there are plenty of biophysics where vegetation, climate, soils, and the various faces and the relationships and processes that take place among them generate the formation of different ecosystems and habitats with great potential ecological and environmental. There are a range of vegetation types, ranging from shrubby coverage areas up to very sparse and mostly absent vegetation areas, which demonstrated high desertification process occurring. Similarly, a variety of soils that is in the region along with vegetation makes this a region of great variation from the viewpoint of environmental supply. This article deals with the realization of a diagnosis of environmental sensitivity to desertification of São Francisco Development Region seeking spatialize the different situations in which the environment fulfills a greater or lesser extent, its role as provider of environmental services. For this, we used the cutting mapping of existing vegetation and soil mapping of the state and the established criteria, as well as edaphic vegetation cover, featuring the susceptibility to degradation and performed the intersection of these two bases of information to profile the sensitivity to desertification. The results show that São Francisco Development Region has the following values of areas undergoing desertification: 1.77% in weak class; 74.74% in the moderate class; 0.35% in sharp class, and 23.14% in severe class. Keywords: desertification, São Francisco, Semi-arid region, soils.   

scholarly journals Soil Moisture and Irrigation Mapping in A Semi-Arid Region, Based on the Synergetic Use of Sentinel-1 and Sentinel-2 Data

2018 ◽  
Vol 10 (12) ◽  
pp. 1953 ◽  
Author(s):  
Safa Bousbih ◽  
Mehrez Zribi ◽  
Mohammad El Hajj ◽  
Nicolas Baghdadi ◽  
Zohra Lili-Chabaane ◽  
...  
Keyword(s):  
Soil Moisture ◽  
Arid Region ◽  
Vegetation Index ◽  
Normalized Difference Vegetation Index ◽  
Cloud Model ◽  
Remotely Sensed Data ◽  
Semi Arid Region ◽  
Semi Arid ◽  
Sentinel 2 ◽  
Reference Fields

This paper presents a technique for the mapping of soil moisture and irrigation, at the scale of agricultural fields, based on the synergistic interpretation of multi-temporal optical and Synthetic Aperture Radar (SAR) data (Sentinel-2 and Sentinel-1). The Kairouan plain, a semi-arid region in central Tunisia (North Africa), was selected as a test area for this study. Firstly, an algorithm for the direct inversion of the Water Cloud Model (WCM) was developed for the spatialization of the soil water content between 2015 and 2017. The soil moisture retrieved from these observations was first validated using ground measurements, recorded over 20 reference fields of cereal crops. A second method, based on the use of neural networks, was also used to confirm the initial validation. The results reported here show that the soil moisture products retrieved from remotely sensed data are accurate, with a Root Mean Square Error (RMSE) of less than 5% between the two moisture products. In addition, the analysis of soil moisture and Normalized Difference Vegetation Index (NDVI) products over cultivated fields, as a function of time, led to the classification of irrigated and rainfed areas on the Kairouan plain, and to the production of irrigation maps at the scale of individual fields. This classification is based on a decision tree approach, using a combination of various statistical indices of soil moisture and NDVI time series. The resulting irrigation maps were validated using reference fields within the study site. The best results were obtained with classifications based on soil moisture indices only, with an accuracy of 77%.

Spatial and temporal dynamics of soil moisture for surfaces with a change in land use in the semi-arid region of Brazil

CATENA ◽  
2020 ◽  
Vol 188 ◽  
pp. 104457 ◽  
Author(s):  
Maria Gabriela de Queiroz ◽  
Thieres George Freire da Silva ◽  
Sérgio Zolnier ◽  
Alexandre Maniçoba da Rosa Ferraz Jardim ◽  
Carlos André Alves de Souza ◽  
...  
Keyword(s):  
Land Use ◽  
Soil Moisture ◽  
Arid Region ◽  
Temporal Dynamics ◽  
Spatial And Temporal Dynamics ◽  
Semi Arid Region ◽  
Semi Arid

Quantification of irrigation water using remote sensing of soil moisture in a semi-arid region

2019 ◽  
Vol 231 ◽  
pp. 111226 ◽  
Author(s):  
Ehsan Jalilvand ◽  
Masoud Tajrishy ◽  
Sedigheh Alsadat Ghazi Zadeh Hashemi ◽  
Luca Brocca
Keyword(s):  
Remote Sensing ◽  
Soil Moisture ◽  
Irrigation Water ◽  
Arid Region ◽  
Semi Arid Region ◽  
Semi Arid

scholarly journals Semi-Arid Region Soil Moisture Prediction using Multivariate Regression

2019 ◽  
Vol 8 (4) ◽  
pp. 12457-12460
Keyword(s):  
Soil Moisture ◽  
Moisture Content ◽  
Soil Properties ◽  
Arid Region ◽  
Soil Moisture Content ◽  
Linear Regression Analysis ◽  
Organic Content ◽  
Dry Density ◽  
Semi Arid Region ◽  
Semi Arid

The Water Scarcity is a prominent feature in Arid and Semi-Arid region. Soil moisture content is significant factor in deciding vegetation growth and also affects the performance of any water harvesting system in place. This paper evaluates the interrelationship of Soil properties with Soil Moisture content. The study covers about 13 soil Samples from Single Watershed. The soil properties covered in the study are Conductivity, pH, Bulk Density, Dry Density, Specific gravity, organic content, void ratio, and Moisture Content. Multiple linear regression analysis was done to determine significance of each soil properties for soil moisture content as individual and as whole. Modelling was done based on soil characteristics to predict Soil Moisture. Principal Component Analysis was performed to identify most significant soil properties responsible for variation of prediction of Soil Moisture content. The Correlation between location topography and Moisture Content was obtained through Cluster Analysis.

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