Rainfall Estimation in Africa Using Remote Sensing Techniques

Bonifácio, Rogério; Alan, Belward; Valenzuela, Carlos R.

doi:10.1007/978-94-017-2879-9_11

Cited by 3 publications

(4 citation statements)

References 7 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…There are several factors that can cause the estimated value of the productivity measurement results to be different from the actual conditions, namely factors of different plant conditions such as the level of plant health or can be caused by cloud disturbances at the time of image taking. This is in accordance with Nafi's statement (2017), that the estimated value more or less with that in the field can be influenced by differences in plant age, health level, differences in plant types planted, planting methods,or interference (clouds) during the process of taking satellite imagery [9].…”

Section: Processing Rice Productivity Correlation Test Resultssupporting

confidence: 91%

“…By looking at the results of the three graphs above, it can be seen that increasing the value of the vegetation index has an effect on increasing total productivity. This is in accordance with Nafi's statement (2017), that under normal conditions the vegetation index value and rice plant productivity have a positive relation, the impact of this positive relation is that if there is an increase in the NDVI value it will also be followed by an increase in the productivity value of the rice plant [9].…”

Section: The Relation Between the Savi Vegetation Index And The Produ...supporting

confidence: 91%

See 1 more Smart Citation

The relation between vegetation indices of the generative stage with productivity of paddy fields

Kusdilawana,

Samsuar

2023

IOP Conf. Ser.: Earth Environ. Sci.

View full text Add to dashboard Cite

Maros regency is one of the agricultural areas in South Sulawesi which is a large rice area. Sourced from BPS data (Central Statistics Agency), both rice production and productivity in Maros Regency have decreased fluctuatingly over the last three years. Knowledge related to rice productivity is very important to know in order to support food security. Geographic information system is one of the modern technologies that can be used in estimating rice productivity which then utilizes Sentinel-2 Image data. In its use, a spectral transformation is used to display aspects of plant conditions such as vegetation index NDVI (Normalized Difference Vegettation Index), EVI (Enchanced Vegetation Index) and SAVI (Soil Adjusted Vegetation Index). The purpose of this study was to determine the relation between the vegetation index value of the generative stage and the productivity of paddy fields in Alatengae village. The method used is a simple linear regression method in estimating the relation between rice productivity and the vegetation index NDVI, EVI and SAVI. From the analysis of the relation between the vegetation index and rice productivity, there is a very strong (positive) correlation, where the higher the value of the vegetation index, it will be higher the plant productivity.

show abstract

Section: Processing Rice Productivity Correlation Test Resultssupporting

confidence: 91%

Section: The Relation Between the Savi Vegetation Index And The Produ...supporting

confidence: 91%

The relation between vegetation indices of the generative stage with productivity of paddy fields

Kusdilawana,

Samsuar

2023

IOP Conf. Ser.: Earth Environ. Sci.

View full text Add to dashboard Cite

show abstract

“…Digital techniques are based on electromagnetic spectrum analyses, particularly in the MW, VIS and THI regions. However, none of these techniques provide a direct measure of the quantity of precipitation, but they can provide indications of the probable precipitation in a particular condition (Bonifácio, 1991;Petty and Krajewski, 1996;Kite and Prietoniro, 1996). One of the first techniques is the Manual Technique of Rain Monitoring by Satellite (the Bristol Method; Barret, 1970;Barret et al, 1990).…”

Section: Sourcementioning

confidence: 99%

“…The transformation of the cloud/duration index for precipitation estimation is carried out through global regressions, which are applicable to new study areas. This method has been particularly successful when used as an outline for interpolation between pluviometers and when it is applied to events of synoptic precipitation over very large areas (Bonifácio, 1991).…”

Section: Sourcementioning

confidence: 99%

Spatial prediction in hydrology: status and implications in the estimation of hydrological processes for applied research

Mendoza

Bocco

Bravo

2002

Progress in Physical Geography: Earth and Environment

View full text Add to dashboard Cite

Based on a review of research, the linkages between distributed hydrological modelling (DHM) remote sensing (RS) and geographical information system (GIS) techniques, coupled with geomorphological knowledge are discussed. While presenting characteristics of the models, techniques, and supporting analytical tools of geographical hydrology, the emphasis is on the estimation of hydrological variables. The first is limited to the spatialization and integration of low resolution meteorological data with hydrological models in a GIS environment. The second includes research in the calculation of precipitation, evapotranspiration, radiation, etc., from the digital analyses of remote sensing data, to feed either lumped or spatially distributed models. The third links the tools of GIS and RS with hydrological modelling; usually it makes intensive use of the tools of GIS for several scales of spatial modelling. The last group integrates GIS, RS and hydrological modelling supported by the delimitation and characterization of environmental units, generally to detailed and semidetailed scales.

show abstract

Environmental Information Systems in Malaria Risk Mapping and Epidemic Forecasting

Connor¹,

Thomson²,

Flasse³

et al. 1998

Disasters

View full text Add to dashboard Cite

Every year between one and two million African children under five die of malaria. If one adds to this the contribution of malaria to all‐cause infant mortality then clearly the burden of the disease is catastrophic — a disaster quietly happening each and every year. New tools are needed urgently to support those currently available for control of the disease. An effective vaccine remains elusive. This article outlines the potential contribution to malaria control services of satellite information, which is being used by resource managers in other sectors. In particular, it highlights the lessons which can be learned from early warning systems in other areas, especially those designed to respond to famine. An appendix provides a brief introduction to satellite data and their interpretation.

show abstract

Rainfall Estimation in Africa Using Remote Sensing Techniques

Cited by 3 publications

References 7 publications

The relation between vegetation indices of the generative stage with productivity of paddy fields

The relation between vegetation indices of the generative stage with productivity of paddy fields

Spatial prediction in hydrology: status and implications in the estimation of hydrological processes for applied research

Environmental Information Systems in Malaria Risk Mapping and Epidemic Forecasting

Contact Info

Product

Resources

About