scholarly journals Spatial-temporal agricultural production of Citrus x limonand Mangifera indica, using spectral signatures and satellite images

2021 ◽  
Vol 12 (4) ◽  
pp. 557-570
Author(s):  
Cristhian Aldana ◽  
Yesenia Saavedra ◽  
Jhony Gonzales ◽  
David Gálvez ◽  
Claudia Palacios ◽  
...  
2018 ◽  
Vol 10 (10) ◽  
pp. 1555 ◽  
Author(s):  
Caio Fongaro ◽  
José Demattê ◽  
Rodnei Rizzo ◽  
José Lucas Safanelli ◽  
Wanderson Mendes ◽  
...  

Soil mapping demands large-scale surveys that are costly and time consuming. It is necessary to identify strategies with reduced costs to obtain detailed information for soil mapping. We aimed to compare multispectral satellite image and relief parameters for the quantification and mapping of clay and sand contents. The Temporal Synthetic Spectral (TESS) reflectance and Synthetic Soil Image (SYSI) approaches were used to identify and characterize texture spectral signatures at the image level. Soil samples were collected (0–20 cm depth, 919 points) from an area of 14,614 km2 in Brazil for reference and model calibration. We compared different prediction approaches: (a) TESS and SYSI; (b) Relief-Derived Covariates (RDC); and (c) SYSI plus RDC. The TESS method produced highly similar behavior to the laboratory convolved data. The sandy textural class showed a greater increase in average spectral reflectance from Band 1 to 7 compared with the clayey class. The prediction using SYSI produced a better result for clay (R2 = 0.83; RMSE = 65.0 g kg−1) and sand (R2 = 0.86; RMSE = 79.9 g kg−1). Multispectral satellite images were more stable for the identification of soil properties than relief parameters.


Author(s):  
Ö. Gürsoy ◽  
A. C. Birdal ◽  
F. Özyonar ◽  
E. Kasaka

Water resources are getting more and more important with each passing day in case of survival of humanity. For this reason, assessing water resources’ quality and also monitoring them have attracted lots of attention in the recent years. Remote sensing has been growing widely in the last decade and its resources are very usable when it comes to water resources management. In this study, by using remote sensing technology, satellite images that have 350 to 1050 nanometres wavelength band sensors (e.g. CHRIS Proba) are used to determine the quality of the Kizilirmak River’s water. Kizilirmak River is born and also pours out to sea in country limits of Turkey. It is the longest river of the country by the length of 1355 kilometres. Through the river’s resources, ground based spectral measurements are made to identify the quality differences of the water at the test spots that have been determined before. In this context at Imranli, where the river contacts civilization for the first time, which is located in Sivas city of Turkey, samples are gathered in order to do ground based spectroradiometer measurements. These samples are gathered simultaneously with the image acquiring time of CHRIS Proba satellite. Spectral signatures that are obtained from ground measurements are used as reference data in order to classify CHRIS Proba satellite’s hyperspectral images over the study area. Satellite images are classified based on Chemical Oxygen Demand (COD), Turbidity and Electrical Conductivity (EC) attributes. As a result, interpretations obtained from classified CHRIS Proba satellite hyperspectral images of the study area are presented.


2015 ◽  
Vol 5 (1) ◽  
pp. 74-84
Author(s):  
Глушенков ◽  
Oleg Glushenkov ◽  
Перепечина ◽  
Yuliya Perepechina ◽  
Корсиков ◽  
...  

Object of study is forests, newly emerged on agricultural lands due to their withdrawal from agricultural use in the early 90s in the territory of the Bryansk region. Relevance of the work is indicated by absence of any mechanism of account and use of these forests. The analysis of the process of fields overgrowing with woody vegetation, for integrated and sustainable use of emerging plants is made, the technique of their account is proposed. To conduct the study plots of forest renewed in agricultural fields were selected, taking into consideration the composition of adjacent stands. In selected plantations temporary plots were laid, size was determined by number of trees - not less than 300 pieces. Test plots were laid at a distance of 51-100 m from the wall of the forest. Trees were determined by age, height was measured. Scots pine, silver birch and goat willow are the most commonly found species in abandoned fields. By the age of 5 years, pine, willow have a height of 1.1 m, and birch by 6 years – about 2 m. Pine in this situation manifests itself as a pioneer species , but it is inferior to the birch in growth rate. Conducting interpretation of satellite images with resolution of 2.5 m it was found that forest area of 120.6 thousand hectares are unaccounted for in HLB and Gil of the region, which corresponds to the forest area the Oryol region. In accordance with the recommendations of the UN FAO, these forests should be accounted, characteristics should be given and their continued use should be determined. On the basis of these forest areas should be organized in municipal forestry, regulations should be developed and forestries should function. After determine the cutting age in a birch business section (V / 41-50) according to the age of quantitative maturity, after logging, these lands can be reused for agricultural production.


2020 ◽  
pp. 147
Author(s):  
C. Aldana ◽  
M. Revilla ◽  
J. Gonzales ◽  
Y. Saavedra ◽  
W. Moncada ◽  
...  

<p class="p1">El Niño phenomenon, droughts and the warm climate directly influence the good ecological state of the forests in the Piura Region. The objective is to relate the spectral signatures evaluated in the Sentinel-2 satellite images with the spectral signatures measured with the FieldSpec4 spectroradiometer, for the identification of dry forest in the lower basin of the Chira River, Piura región. The Sentinel-2 images corresponding to the 17MNR, 17MPR, 17MMQ, 17MNQ and 17MPQ tiles are pre-processed, mosaicked, resampled and cut with the SNAP software. Stacking of bands 2, 3, 4, 5, 6, 7, 8, 9, 11 and 12 generates a raster whose pixel reflectance values are related to their wavelengths. The classification of dry forest areas is done with the spectral signature measured with the FieldSpec4 spectroradiometer. The validation of the results is carried out by applying the non-parametric ANOVA and Mann-Whitney-Wilcoxon tests at four sampling points. The surface area of dry forest in the lower basin of the Chira River is 129 113.06 ha, which represents 3.8% of the total area of dry forest in northern Peru.</p>


Author(s):  
Dorota S. Temple ◽  
Jason S. Polly ◽  
Meghan Hegarty-Craver ◽  
James I. Rineer ◽  
Daniel Lapidus ◽  
...  

Despite notable progress in reducing global poverty and hunger in recent decades, about one out of nine people in the world suffers from hunger and malnutrition. Stakeholders charged with making decisions pertaining to agricultural production, development priorities, and policies at a region-to-country scale require quantitative and up-to-date information on the types of crops being cultivated, the acreage under cultivation, and crop yields. However, many low- and middle-income countries lack the infrastructure and resources for frequent and extensive agricultural field surveys to obtain this information. Technology supports a change of paradigm. Traditional methods of obtaining agricultural information through field surveys are increasingly being augmented by images of the Earth acquired through sensors placed on satellites. The continued improvement in the resolution of satellite images, the establishment of open-access infrastructure for processing of the images, and the recent revolutionary progress in artificial intelligence make it feasible to obtain the information at low cost and in near-to-real time. In this brief, we discuss the use of satellite images to provide information about agricultural production in low-income countries, and we comment on research challenges and opportunities. We highlight the near-term potential of the methodology in the context of Rwanda, a country in sub-Saharan Africa whose government has recognized early the value of information technology in its strategic planning for food security and sustainability.


Planta Medica ◽  
2012 ◽  
Vol 78 (11) ◽  
Author(s):  
A Wiater ◽  
K Próchniak ◽  
M Janczarek ◽  
M Pleszczyńska ◽  
M Tomczyk ◽  
...  

Planta Medica ◽  
2013 ◽  
Vol 79 (05) ◽  
Author(s):  
ADC Abergas ◽  
MCQ Aleria ◽  
ZJS Alimagno ◽  
KNC Batac ◽  
AFM De Lara ◽  
...  

Metrologiya ◽  
2020 ◽  
pp. 15-37
Author(s):  
L. P. Bass ◽  
Yu. A. Plastinin ◽  
I. Yu. Skryabysheva

Use of the technical (computer) vision systems for Earth remote sensing is considered. An overview of software and hardware used in computer vision systems for processing satellite images is submitted. Algorithmic methods of the data processing with use of the trained neural network are described. Examples of the algorithmic processing of satellite images by means of artificial convolution neural networks are given. Ways of accuracy increase of satellite images recognition are defined. Practical applications of convolution neural networks onboard microsatellites for Earth remote sensing are presented.


Sign in / Sign up

Export Citation Format

Share Document