Location and Characterization of Breeding Sites of Solitary Desert Locust Using Satellite Images Landsat 7 ETM+ and Terra MODIS

Lazar Mohammed; Aliou Diongue; Jeng-Tze Yang; Doumandji-Mitiche Bahia; Lecoq Michel

doi:10.4236/ae.2015.31002

Fine-Grained Large-Scale Vulnerable Communities Mapping via Satellite Imagery and Population Census Using Deep Learning

Remote Sensing ◽

10.3390/rs13183603 ◽

2021 ◽

Vol 13 (18) ◽

pp. 3603

Author(s):

Joaquín Salas ◽

Pablo Vera ◽

Marivel Zea-Ortiz ◽

Elio-Atenogenes Villaseñor ◽

Dagoberto Pulido ◽

...

Keyword(s):

Large Scale ◽

Satellite Images ◽

Census Data ◽

Population Census ◽

Fine Grained ◽

Vulnerable Communities ◽

Landsat 7 ◽

Block Level ◽

Definition Of

One of the challenges in the fight against poverty is the precise localization and assessment of vulnerable communities’ sprawl. The characterization of vulnerability is traditionally accomplished using nationwide census exercises, a burdensome process that requires field visits by trained personnel. Unfortunately, most countrywide censuses exercises are conducted only sporadically, making it difficult to track the short-term effect of policies to reduce poverty. This paper introduces a definition of vulnerability following UN-Habitat criteria, assesses different CNN machine learning architectures, and establishes a mapping between satellite images and survey data. Starting with the information corresponding to the 2,178,508 residential blocks recorded in the 2010 Mexican census and multispectral Landsat-7 images, multiple CNN architectures are explored. The best performance is obtained with EfficientNet-B3 achieving an area under the ROC and Precision-Recall curves of 0.9421 and 0.9457, respectively. This article shows that publicly available information, in the form of census data and satellite images, along with standard CNN architectures, may be employed as a stepping stone for the countrywide characterization of vulnerability at the residential block level.

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Monitoring on-orbit calibration stability of the Terra MODIS and Landsat 7 ETM+ sensors using pseudo-invariant test sites

Remote Sensing of Environment ◽

10.1016/j.rse.2009.12.003 ◽

2010 ◽

Vol 114 (4) ◽

pp. 925-939 ◽

Cited By ~ 82

Author(s):

Gyanesh Chander ◽

Xiaoxiong (Jack) Xiong ◽

Taeyoung (Jason) Choi ◽

Amit Angal

Keyword(s):

Landsat 7 ◽

Invariant Test ◽

Terra Modis

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Characterization of breeding sites of Phlebotomus orientalis – The vector of visceral leishmaniasis in northwestern Ethiopia

Acta Tropica ◽

10.1016/j.actatropica.2014.06.013 ◽

2014 ◽

Vol 139 ◽

pp. 5-14 ◽

Cited By ~ 21

Author(s):

Aviad Moncaz ◽

Oscar Kirstein ◽

Araya Gebresellassie ◽

Wossenseged Lemma ◽

Solomon Yared ◽

...

Keyword(s):

Visceral Leishmaniasis ◽

Breeding Sites ◽

Phlebotomus Orientalis

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Uso de Técnicas de Geoprocessamento para Estudo da Erosão Hídrica Laminar em Bacia Hidrográfica do Sudoeste do Paraná.

Revista Brasileira de Geografia Física ◽

10.26848/rbgf.v13.3.p1117-1131 ◽

2020 ◽

Vol 13 (3) ◽

pp. 1117

Author(s):

Julio Caetano Tomazoni ◽

Ana Paula Vansan

Keyword(s):

Soil Erosion ◽

Soil Conservation ◽

Soil Loss ◽

Satellite Images ◽

Water Erosion ◽

Soil Samples ◽

Universal Equation ◽

Erosion Rates ◽

Loss Estimate

Este trabalho tem como objetivo avaliar a erosão hídrica laminar do solo, por meio da Equação Universal de Perdas de Solos Revisada (RUSLE) na bacia hidrográfica do rio São José, localizada no município de Francisco Beltrão (PR). A perda de solo média anual (A) foi determinada através da RUSLE para os anos 2000, 2005, 2009, 2015 e 2017 utilizando-se técnicas de geoprocessamento com o auxílio do software ArcGis 10.0. O fator erosividade da chuva (R) foi determinado utilizando-se dados pluviométricos correspondentes ao período de 1974 a 2016. O fator erodibilidade do solo (K) foi obtido através da análise de amostras de solo coletadas in loco. O fator topográfico (LS) foi estimado por meio dos dados altimétricos e hidrográficos da bacia. Os fatores de uso e manejo do solo (C) e de práticas conservacionistas do solo (P) foram determinados por meio da caracterização multitemporal do uso e ocupação do solo, através de imagens de satélite. O potencial natural de erosão (PNE) foi determinado pela multiplicação dos fatores R, K e LS.A estimativa de perda de solo (A) foi determinada pela multiplicação do PNE pelos fatores C e P. Use of Geoprocessing Techniques to Study Laminar Water Erosion in Watershed of Southwest Paraná A B S T R A C TThe objective of this work is evaluate the soil erosion by the Universal Equation of Soil Losses Revised (RUSLE) in the São José river basin, located in the municipality of Francisco Beltrão (PR). The average annual soil loss (A) was determined through RUSLE for the years 2000, 2005, 2009, 2015 and 2017 using geoprocessing techniques with ArcGis 10.0 software. Rainfallerosivity (R) was determined using rainfall data from 1974 to 2016, being determined at 11521.26 11521,26 MJ.mm.ha-1.h-1.year-1. The soil erodibility factor (K) was obtained through the analysis of soil samples collected on the spot (0,03018 t.ha.h/ha.MJ.mm, 0,02771 t.ha.h/ha.MJ.mm e 0,02342 t.ha.h/ha.MJ.mm). The topographic factor (LS) was estimated by the altimetric and hydrographic data of the basin. Soil use and management (C) and soil conservation (P) were determined through multitemporal characterization of land use and occupation, using satellite images. The natural erosion potential (NEP) was determined by multiplying the R, K and LS factors, with more than half of the total area of the watershed with very strong PNE. The soil loss estimate (A) was determined by multiplying the NEP by factors C and P with predominance of the class called low (0 to 10 t/ha/year) denoting the reduction of erosion rates through factors C and P, helping to protect the soil from the erosion process.Key words: Soil Erosion; Watershed, Revised Universal Soil Loss Equation, Geoprocessing, Software.

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Spatio-Temporal Deforestation Measurement Using Automatic Clustering

EMITTER International Journal of Engineering Technology ◽

10.24003/emitter.v4i1.120 ◽

2016 ◽

Vol 4 (1) ◽

Author(s):

Irene Erlyn Wina Rachmawan ◽

Ali Ridho Barakbah ◽

Tri Harsono

Keyword(s):

Experimental Study ◽

Satellite Images ◽

New Approach ◽

Deforestation Rate ◽

Automatic Interpretation ◽

Automatic Clustering ◽

Landsat 7 ◽

Spatio Temporal ◽

Temporal Measurement ◽

World Records

Deforestation is one of the crucial issues in Indonesia. In 2012, deforestation rate in Indonesia reached 0.84 million hectares, exceeding Brazil. According to the 2009 Guinness World Records, Indonesia's deforestation rate was 1.8 million hectares per year between 2000 and 2005. An interesting view is the fact that Indonesia government denied the deforestation rate in those years and said that the rate was only 1.08 million hectares per year in 2000 and 2005. The different problem is on the technique how to deal with the deforestation rate. In this paper, we proposed a new approach for automatically identifying the deforestation area and measuring the deforestation rate. This approach involves differential image processing for detecting Spatio-temporal nature changes of deforestation. It consists series of important features extracted from multiband satellite images which are considered as the dataset of the research. These data are proceeded through the following stages: (1) Automatic clustering for multiband satellite images, (2) Reinforcement Programming to optimize K-Means clustering, (3) Automatic interpretation for deforestation areas, and (4) Deforestation measurement adjusting with elevation of the satellite. For experimental study, we applied our proposed approach to analyze and measure the deforestation in Mendawai, South Borneo. We utilized Landsat 7 to obtain the multiband images for that area from the year 2001 to 2013. Our proposed approach is able to identify the deforestation area and measure the rate. The experiment with our proposed approach made a temporal measurement for the area and showed the increasing deforestation size of the area 1.80 hectares during those years.

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Electronic crosstalk characterization of Terra MODIS long wave infrared channels

10.1117/12.2185960 ◽

2015 ◽

Cited By ~ 3

Author(s):

Sriharsha Madhavan ◽

Xiaoxiong Xiong ◽

Junqiang Sun ◽

Kwofu Chiang ◽

Aisheng Wu

Keyword(s):

Long Wave ◽

Terra Modis ◽

Long Wave Infrared

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Insecticidal Activity of Bacteria from Larvae Breeding Site with Natural Larvae Mortality: Screening of Separated Supernatant and Pellet Fractions

Pathogens ◽

10.3390/pathogens9060486 ◽

2020 ◽

Vol 9 (6) ◽

pp. 486 ◽

Cited By ~ 1

Author(s):

Handi Dahmana ◽

Didier Raoult ◽

Florence Fenollar ◽

Oleg Mediannikov

Keyword(s):

Biological Control ◽

Insecticidal Activity ◽

Breeding Site ◽

Bacterial Strains ◽

Activity Prediction ◽

Pcr Screening ◽

Breeding Sites ◽

Insecticide Activity ◽

New Compounds

Mosquitoes can transmit to humans devastating and deadly pathogens. As many chemical insecticides are banned due to environmental side effects or are of reduced efficacy due to resistance, biological control, including the use of bacterial strains with insecticidal activity, is of increasing interest and importance. The urgent actual need relies on the discovery of new compounds, preferably of a biological nature. Here, we explored the phenomenon of natural larvae mortality in larval breeding sites to identify potential novel compounds that may be used in biological control. From there, we isolated 14 bacterial strains of the phylum Firmicutes, most of the order Bacillales. Cultures were carried out under controlled conditions and were separated on supernatant and pellet fractions. The two fractions and a 1:1 mixture of the two fractions were tested on L3 and early L4 Aedes albopictus. Two concentrations were tested (2 and 6 mg/L). Larvae mortality was recorded at 24, 48 and 72 h and compared to that induced by the commercialized B. thuringiensis subsp. israelensis. Of the 14 strains isolated, 11 were active against the A. albopictus larvae: 10 of the supernatant fractions and one pellet fraction, and mortality increased with the concentration. For the insecticide activity prediction in three strains of the Bacillus cereus complex, PCR screening of the crystal (Cry) and cytolytic (Cyt) protein families characteristic to B. thuringiensis subsp. israelensis was performed. Most of the genes coding for these proteins’ synthesis were not detected. We identified bacterial strains that exhibit higher insecticidal activity compared with a commercial product. Further studies are needed for the characterization of active compounds.

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