scholarly journals MANEJO, QUALIDADE E DINÂMICA DA DEGRADAÇÃO DE PASTAGENS NA MATA ATLÂNTICA DE MINAS GERAIS - BRASIL

Nativa ◽  
2018 ◽  
Vol 6 (4) ◽  
pp. 370 ◽  
Author(s):  
Luís Flávio Pereira ◽  
Cecilia Fátima Carlos Ferreira ◽  
Ricardo Morato Fiúza Guimarães
Keyword(s):  
Remote Sensing ◽  
Atlantic Forest ◽  
Quality Index ◽  
Minas Gerais ◽  
Google Earth ◽  
Landsat 8 ◽  
Landsat 8 Oli ◽  
Mata Atlântica ◽  
Mata Atlantica ◽  
Forest Biome

Pastagens sob práticas de manejo ineficientes tornam-se degradadas, provocando sérios problemas socioambientais e econômicos. Assim, entender a dinâmica dos sistemas pastoris e suas interações com o meio físico torna-se essencial na busca de alternativas sustentáveis para a agropecuária. Estudou-se manejo, dinâmica anual e interações socioambientais em pastagens de uma bacia hidrográfica no bioma Mata Atlântica em Minas Gerais, Brasil, durante o ano hidrológico 2016/2017. Utilizou-se dados de campo, relatos de agricultores e sensoriamento remoto via imagens LANDSAT 8 OLI e Google Earth Pro®. Foi proposto um índice de qualidade para pastagens da região. As pastagens apresentaram, em média, qualidade moderada. Níveis de degradação foram altos, oscilando de forma quadrática (níveis 2, 4, 5 e IDP) e potencial (nível 1) com a precipitação (p < 0,01), o que sugere que a irrigação possa ser prática eficiente no controle da degradação. Durante o ano, pelo menos 51,27% das pastagens apresentaram algum sinal de degradação, atingindo-se a marca de 91,32%, no período seco. Os resultados sugerem pior qualidade e maiores níveis de degradação de pastagens em terras elevadas e declivosas. Devido às condições socioambientais locais, indica-se o uso de sistemas silvipastoris agroecológicos no manejo das pastagens.Palavras-chave: uso da terra, sensoriamento remoto, relação solo paisagem, Zona da Mata, índice de qualidade. MANAGEMENT, QUALITY AND DEGRADATION DYNAMICS OF PASTURES IN ATLANTIC FOREST BIOME, MINAS GERAIS – BRASIL ABSTRACT:Pastures under inefficient management practices get degraded, leading to serious socioeconomic and environmental issues. That being said, understanding the dynamics of such systems and their interaction with the environment is essential when it comes to looking towards sustainable alternatives for livestock activities. The management, annual dynamics and socio-environmental interactions in pastures in an hydrographic basin located in Atlantic Forest biome, Minas Gerais, Brasil, were studied during the hydrological year of 2016/2017. Field data and farmers reports were utilized, such as remote sensing via images from LANDSAT 8 OLI and Google Earth Pro®. A quality index was proposed for the pastures, which usually presented medium quality. Degradation levels were high, oscillating in a quadratic basis (levels 2, 4, 5 and IDP) and potential (level 1) with precipitation (p < 0,01), which suggests that irrigation might be an efficient practice when it comes to degradation control. During the year, at least 51,27% of pastures have presented signs of degradation, achieving 91,32% in dry periods. The results suggest less quality and bigger degradation levels in pastures located in high and steep areas. Considering the local environmental conditions, agroecological silvopasture systems are recommended regarding the pastures management.Keywords: land use, remote sensing, soil/landscape relationships, Zona da Mata, quality index.

scholarly journals DINÂMICA DO VOLUME, BIOMASSA E CARBONO NA MATA ATLÂNTICA POR FERRAMENTA DE DETECÇÃO DE MUDANÇAS

Nativa ◽  
2019 ◽  
Vol 7 (4) ◽  
pp. 437
Author(s):  
Ayrton Machado ◽  
Ana Paula Marques Martins ◽  
Carlos Roberto Sanquetta ◽  
Ana Paula Dalla Corte ◽  
Jaime Wojciechowski ◽  
...  
Keyword(s):  
River Basin ◽  
Atlantic Forest ◽  
Landsat 8 ◽  
South American ◽  
Landsat 8 Oli ◽  
Mata Atlântica ◽  
Landsat 7 ◽  
Mata Atlantica ◽  
Year 2000 ◽  
Iguaçu River

A Mata Atlântica é reconhecida internacionalmente como uma das maiores e mais importantes florestas tropicais do continente sul-americano e além de sua importância para a biodiversidade, esse Bioma exerce importante função no ciclo de carbono. O objetivo deste trabalho foi desenvolver e aplicar uma rotina de detecção de mudanças dos estoques de volume, biomassa e carbono de 2000 a 2015 na Bacia do Rio Iguaçu, Estado do Paraná. Foram utilizadas imagens Landsat-7 ETM+ para o ano 2000 e Landsat-8 OLI para o ano de 2015 totalizando dez cenas para cada período. Foi desenvolvido uma rotina em Python e implementado no Software ArcGIS 10.4 para realizar a automatização de um processo de cálculo de estimativa de volume, biomassa e carbono para os remanescentes de vegetação natural. Houve acréscimo de 15,21% em volume, 14,95% em biomassa, 14,96% em carbono não considerando os estágios sucessionais nem subdivisão por fitofisionomia na bacia do Rio Iguaçu.  Desta forma, concluiu-se que a região de estudo está colaborando de forma positiva para a remoção de dióxido de carbono da atmosfera.Palavras-chave: bacia do rio Iguaçu; mudanças climáticas; sequestro de carbono. DYNAMICS OF VOLUME, BIOMASS AND CARBON IN THE ATLANTIC FOREST BY A CHANGE DETECTION TOOL ABSTRACT: The Atlantic Forest is recognized internationally as one of the largest and most important tropical forests in the South American continent and besides its importance for biodiversity, this biome plays important role in the carbon cycle. The objective of this work was to develop and apply a routine of detection of changes in volume, biomass and carbon stocks from 2000 to 2015 in the Iguaçu River Basin, State of Paraná. They were used Landsat-7 ETM+ images for the year 2000 and Landsat-8 OLI images for the year 2015 totaling ten images for each period. A routine was developed in Python and implemented in ArcGIS 10.4 Software to perform the automation of a calculation process of volume, biomass and carbon estimation for the remnants of natural vegetation. There was an increase of 15.21% in volume, 14.95% in biomass, 14.96% in carbon, not considering successional stages nor subdivision by phytophysiognomy in the Iguaçu River basin. Thus concludes that the region of study is collaborating in a positive way for the removal of carbon dioxide from the atmosphere.Keywords: Iguaçu river basin; climate changes; carbon sequestration.

scholarly journals Analysis of the fragility of the Environmental Protection Area Alto Rio Doce, MG, Brazil

2020 ◽  
Vol 30 (4) ◽  
pp. 1008-1018
Author(s):  
Geraldo Majela Moraes Salvio ◽  
Carlos Frederico Baumgratz Figueiroa
Keyword(s):  
Environmental Protection ◽  
Minas Gerais ◽  
Landsat 8 ◽  
Mata Atlântica ◽  
Environmental Protection Area ◽  
Protection Area ◽  
Mata Atlantica

Atualmente a Mata Atlântica é um dos biomas mais fragmentados. O objetivo deste estudo foi diagnosticar a fragilidade ambiental da Área de Proteção Ambiental (APA) Alto Rio Doce em Minas Gerais, por meio da caracterização da distribuição da fragmentação local, bem como da pressão sobre a vegetação. A caracterização da vegetação foi feita por classificação supervisionada, por meio da imagem captada pelo sensor OLI presente no Landsat 8. Apenas 22,3% de toda a extensão da APA, que contém 23.329 hectares, apresenta vegetação, sendo composta por muitos pequenos fragmentos. Além disso, a APA é cortada por estradas, sendo uma delas pavimentada e estadual, o que agrava a situação da fragmentação dos habitats, causando danos tanto a espécies animais quanto vegetais. Concluiu-se que para atingir seus objetivos é preciso a elaboração de um plano de manejo para a área, além de alternativas que permitam a popularização da APA tornando-a mais conhecida pela população local.

scholarly journals Distribuição geográfica e diversidade de passalidae (Coleoptera: Scarabaeoidea) no sudeste da Mata Atlântica (Brasil). Geographic Distribution and Diversity of Passalidae (Coleoptera: Scarabaeoidea) from the Atlantic Rainforest of Southeastern (Brazil).

2015 ◽  
Vol 31 (3) ◽  
Author(s):  
Ingrid Mattos ◽  
José Ricardo M. Mermudes
Keyword(s):  
South America ◽  
Atlantic Forest ◽  
Geographic Distribution ◽  
New Records ◽  
Southeastern Brazil ◽  
Mata Atlântica ◽  
Typical Species ◽  
New Locations ◽  
Mata Atlantica ◽  
Forest Biome

RESUMO. A fauna de Passalidae é pouco conhecida no Sudeste do Brasil, uma região com domínio de Mata Atlântica que inclui uma fitofisionomia tropical típica da costa brasileira, com elementos distintos de geologia e geografia. O estudo foi conduzido em sete unidades de conservação do bioma de Mata Atlântica e forneceu uma lista das espécies de Passalinae com mapas de distribuição dos gêneros para a região Sudeste. A diversidade de Passalidae do Sudeste do Brasil incluiu 44 espécies, das quais 37 apresentam registros nas áreas de conservação com base no material coletado que recuperou 30 espécies. Passalus (Pertinax) convexus Dalman, 1817, Passalus (Passalus) denticollis  Kaup, 1869 e Passalus (Passalus) punctiger Lepeletier &Serville, 1825 foram as espécies mais abundantes, representando 49% dos indivíduos coletados. Passalus (Pertinax) convexus é a espécie mais abundante no bioma do Sudeste. Com base em uma ampla amostra de material examinado de diversas instituições, assinalamos 25 novas localidades, sendo 11 novos registros para estados do Brasil e sete registros para outros países da América do Sul, promovendo acréscimos para a distribuição das espécies do Sudeste do Brasil. Passalus nasutus  Percheron, 1835 tem novos comentários taxônomicos para elucidar um problema com Passalus (Passalus) curtus Kaup, 1869, onde o primeiro é restrito ao Brasil e o segundo a Colômbia.ABSTRACT. The Passalidae fauna is poorly known in the southeasternof Brazil, a region with Atlantic Forest thatincludes typical tropical phyto-physiognomies of the Brasilian coast, with distinctive geology and geography. This is the first study in seven areas of conservation of the Atlantic Forest of Southeastern Brazil, and intends to list the species of Passalinae. Actually, the diversity of Passalidae fauna from southeastern of Brazil increase to 44 species, of which 30 were collected and are accurately recorded in remnants of Atlantic Forest biome. Passalus (Pertinax) convexus Dalman, 1817, Passalus (Passalus) denticollis Kaup, 1869 and Passalus (Passalus) punctiger Lepeletier & Serville, 1825 were the most abundant, representing over 49% of individuals. Passalus (Pertinax) convexus is one of the most typical species from the Atlantic Forest biome in the Southeast. Based on a large sample of material examined from several institutions, we found 25 new locations, 11 new records for the states of Brazil and seven records to other countries in South America, promoting additions to the distribution of species in Southeast Brazil. Passalus nasutus Percheron, 1835 have new unambiguous comemmts to elucidate Passalus (Passalus) curtus Kaup, 1869, where the former species is restricted to Brazil and the latter is restricted to Colombia.

scholarly journals MAPPING URBAN AREAS USING DENSE TIME SERIES OF LANDSAT IMAGES AND GOOGLE EARTH ENGINE

2020 ◽  
Vol XLII-3/W10 ◽  
pp. 403-409
Author(s):  
D. C. Pu ◽  
J. Y. Sun ◽  
Q. Ding ◽  
Q. Zheng ◽  
T. T. Li ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Time Series ◽  
Data Quality ◽  
Urban Area ◽  
Urban Areas ◽  
Remote Sensing Data ◽  
Google Earth ◽  
Landsat 8 ◽  
Landsat 8 Oli ◽  
Feature Importance

Abstract. Urban information extraction from satellite based remote sensing data could provide the basic scientific decision-making data for the construction and management of future cities. In particular, long-term satellite based remote sensing such as Landsat observations provides a rich source of data for urban area mapping. Urban area mapping based on the single-temporal Landsat observations is vulnerable to data quality (such as cloud coverage and stripe), and it is difficult to extract urban areas accurately. The composite of dense time series Landsat observations can significantly reduce the effect of data quality on urban area mapping. Multidimensional array is currently effective theory for geographic big data analysis and management, providing a theoretical basis for the composite of dense time series Landsat observations. Google Earth Engine (GEE) not only provides rich satellite based remote sensing data for the composite of dense time series data, but also has powerful massive data analysis capabilities. In the study, we chose Random Forest (RF) algorithm for the urban area extraction owing to its stable performance, high classification accuracy and feature importance evaluation. In this work, the study area is located in the central part of the city of Beijing, China. Our main data source is all Landsat8 OLI images in Beijing (path/row: 123/32) in 2017.Based on the multidimensional array for geographic big data theory and the GEE cloud computing platform, four commonly used reducer methods are selected to composite the annual dense time series Landsat 8 OLI data. After collecting the training samples, RF algorithm was selected for supervised classification, feature importance evaluation and accuracy verification for urban area mapping. The results showed that 1), compared with the single temporal image of Landsat 8 OLI, the quality of annual composite image was improved obviously, especially for urban extraction in cloudy areas; 2) for the evaluation results of feature importance based on RF algorithm, Coastal, Blue, NIR, SWIR1 and SWIR2 bands were the more important characteristic bands, while the Green and Red bands were comparatively less important; 3) the annual composite images obtained by the ee.Reducer.min, ee.Reducer.max, ee.Reducer.mean and ee.Reducer.median methods were classified and accuracy verification was carried out using the verification points. The overall accuracy of the urban area mapping reached 0.805, 0.820, 0.868 and 0.929, respectively. In summary, the ee.Reducer.median method is a suitable method for annual dense time series Landsat image composite, which could improve the data quality, and ensure the difference of features and the higher accuracy of urban area mapping.

scholarly journals Seasonality and Relative Abundance of tabanids (Diptera, Tabanidae) on Marambaia Island, Rio de Janeiro, Brazil.

2017 ◽  
Vol 10 (2) ◽  
pp. 82-88
Author(s):  
Ronald Rodrigues Guimaraes ◽  
Ronald Rodrigues Guimarães Júnior ◽  
Ronald Storti Harlan-Rodrigues ◽  
Roney Rodrigues Guimarães ◽  
Raimundo Wilson Carvalho ◽  
...  
Keyword(s):  
Seasonal Variation ◽  
Atlantic Forest ◽  
Relative Abundance ◽  
Rio De Janeiro ◽  
Climatic Factors ◽  
Mata Atlântica ◽  
Mata Atlantica ◽  
Marambaia Island ◽  
Forest Biome

Abstract. Tabanids collections were conducted on Marambaia Island, Atlantic Forest biome, Rio de Janeiro, Brazil. Thirty-one species were identified belonging to 16 genera. Seasonal variation and its relationship with the most important climatic factors during 1981 and 2013 and observations on the bionomics of each species are presented.Variação sazonal e abundância de tabânidas (Diptera, Tabanidae) na Ilha da Marambaia, Rio de Janeiro, BrasilResumo. Coletas de tabânidas foram realizadas na ilha de Marambaia, bioma da Mata Atlântica, Rio de Janeiro, Brasil. Trinta e uma espécies foram identificadas pertencentes a 16 gêneros. São apresentadas a variação sazonal, observações sobre bionomia e a relação com os fatores climáticos mais importantes durante os anos de 1981 e 2013.

scholarly journals Proposta de criação de uma trilha ecológica como forma de aproveitamento econômico de Áreas de Proteção Permanente (APP): Fazenda Serra Grande e o Caminho das Águas

2017 ◽  
Vol 10 (4) ◽  
Author(s):  
Isabela Barbosa Pereira Carvalho ◽  
Maria Cristina Crispim
Keyword(s):  
Atlantic Forest ◽  
Mata Atlântica ◽  
Environmental Interpretation ◽  
Economic Exploitation ◽  
Nature Trails ◽  
Mata Atlantica ◽  
Forest Biome

Este trabalho propôs-se a agregar valor às Áreas de Preservação Permanente(APP) , através da análise da APP da Fazenda Serra Grande, Alagoa Grande-Paraíba, para o ecoturismo no local. Essa área tem um remanescente de bioma Mata Atlântica, passível de ser utilizado para o desenvolvimento de atividades turísticas principalmente as trilhas ecológicas. A avaliação faz parte da busca de medidas que ajudem a desenvolver o ecoturismo local. A metodologia foi o diagnóstico das potencialidades e atrativos ecoturísticos para futuras atividades ecoturísticas. Foram propostos locais para pontos de interpretação ambiental, apresentando os temas que poderiam ser explorados em cada ponto. Observou-se que as informações levantadas, assim como as ferramentas utilizadas, são importantes para o planejamento do ecoturismo, podendo auxiliar na busca de estratégias para a inserção da APP em roteiros turísticos. Conclui-se que a trilha na Fazenda Serra Grande tem grandes possibilidades de transformar-se em produto ecoturístico. Proposal to create an ecological trail as a means of economic exploitation of Permanent Preservation Areas (APP): Serra Grande Farm and the Waters Way ABSTRACT This study aimed to add value to the Permanent Preservation Areas(PPA), by analyzing the natural aspects of Serra Grande Farm APP, Alagoa Grande, Paraíba, for the development of ecotourism at the site. This area possess a remnant of the Atlantic Forest biome, which can be used as a space conducive to the development of touristic activities, especially the nature trails. The evaluated aspects intend to help develop the ecotourism at the farm. The methodology was the diagnosis of ecotouristic attractions. Sites were proposed for environmental interpretation points, presenting the topics to be explored at each point. It was noted that the information gathered, as well as the tools used are important for the planning for ecotourism, and may help in the search for strategies for the inclusion of PPA in tourist itineraries. It is understood that, from the analysis developed here, the trail at Serra Grande APP Farm has a great potential to turn into an ecotourism product. KEYWORDS: Ecotourism; Ecological Trail; Permanent Preservation Area.

scholarly journals Estimation of PMx Concentrations from Landsat 8 OLI Images Based on a Multilayer Perceptron Neural Network

2019 ◽  
Vol 11 (6) ◽  
pp. 646 ◽  
Author(s):  
Bo Zhang ◽  
Meng Zhang ◽  
Jian Kang ◽  
Danfeng Hong ◽  
Jian Xu ◽  
...  
Keyword(s):  
Neural Network ◽  
Remote Sensing ◽  
Spatial Distribution ◽  
Multilayer Perceptron ◽  
Google Earth ◽  
Estimation Accuracy ◽  
Landsat 8 ◽  
Landsat 8 Oli ◽  
Remote Sensing Images ◽  
Pm10 And Pm2.5

The estimation of PMx (incl. PM10 and PM2.5) concentrations using satellite observations is of great significance for detecting environmental issues in many urban areas of north China. Recently, aerosol optical depth (AOD) data have been being used to estimate the PMx concentrations by implementing linear and/or nonlinear regression analysis methods. However, a lot of relevant research based on AOD published so far have demonstrated some limitations in estimating the spatial distribution of PMx concentrations with respect to estimation accuracy and spatial resolution. In this research, the Google Earth Engine (GEE) platform is employed to obtain the band reflectance (BR) data of a large number of Landsat 8 Operational Land Imager (OLI) remote sensing images. Combined with the meteorological, time parameter and the latitude and longitude zone (LLZ) method proposed in this article, a new BR (band reflectance)-PMx (incl. PM10 and PM2.5) model based on a multilayer perceptron neural network is constructed for the estimation of PMx concentrations directly from Landsat 8 OLI remote sensing images. This research used Beijing, China as the test area and the conducted experiments demonstrated that the BR-PMx model achieved satisfactory performances for the PMx-concentration estimations. The coefficient of determination (R2) of the BR-PM2.5 and BR-PM10 models reached 0.795 and 0.773, respectively, and the root mean square error (RMSE) reached 20.09 μg/m3 and 31.27 μg/m3. Meanwhile, the estimation results have been compared with the results calculated by Kriging interpolation at the same time point, and the spatial distribution is consistent. Therefore, it can be concluded that the proposed BR-PMx model provides a new promising method for acquiring accurate PMx concentrations for various cities of China.

scholarly journals First Record of Dinoponera lucida (Hymenoptera: Formicidae), in the Northeast Region of the State of Minas Gerais, Brazil

2020 ◽  
Vol 24 (1) ◽  
pp. 12-15
Author(s):  
Douglas Silva Parreira ◽  
Lorena Duarte Batista ◽  
Humberto Corrêa Bonfim Ribeiro ◽  
Maíra Parreira Alves Coelho
Keyword(s):  
Atlantic Forest ◽  
Geographic Distribution ◽  
Minas Gerais ◽  
Distribution Area ◽  
Mata Atlântica ◽  
Espírito Santo ◽  
Federal Institute ◽  
Minas Gerais State ◽  
Mata Atlantica ◽  
Espirito Santo

Dinoponera lucida é uma formiga endêmica da Mata Atlântica e desde 2003 está na lista de espécies ameaçadas de extinção. O objetivo dessa pesquisa foi relatar a ocorrência desta formiga em uma área sob ação antrópica no Vale do Jequitinhonha, Minas Gerais, Brasil, fora da sua área de distribuição geográfica conhecida Cinquenta exemplares dessa formiga foram coletadas em uma área próxima a cidade de Ponto dos Volantes e levadas para o laboratório de Controle Biológico de Insetos em Viçosa, Minas Gerais, Brasil, colocadas com álcool a 70% e enviadas ao Instituto Federal do Espírito Santo, Brasil, para identificação. Mapas foram elaborados para ilustrar a distância do ponto de coleta dos exemplares de D. lucida a sua distribuição geográfica e o levantamento da vegetação predominante do município de Ponto dos Volantes. Este é o primeiro relato de D. lucida no nordeste de Minas Gerais, Brasil. A maioria dos indivíduos de D. lucida estava morta ou quebrada, mas as possíveis causas como a destruição de seu habitat ou competição não foram determinadas. A presença desta formiga fora de sua área endêmica inicial indica a possível presença de populações isoladas de D. lucida. Palavras-chave: Adaptação. Formiga. Mata Atlântica. Fragmentação. Insetos.   Abstract   Dinoponera lucida is an endemic ant to the Atlantic Forest and since 2003 has been on the list of endangered species. The objective of this research was to report the occurrence of this ant in area under anthropic action in the Jequitinhonha Valley, Minas Gerais, Brazil, outside its known geographic distribution area. Fifty ants were collected and taken to the Biological Control Laboratory of Insects in Viçosa, Minas Gerais State, Brazil, placed in70% alcohol and sent to the Federal Institute of Espirito Santo, Brazil to be identified. Maps were elaborated to illustrate the distance from the collection point of the D. lucida specimens to their geographic distribution and the survey of the predominant vegetation of the municipality of Ponto dos Volantes. This is the first report of D. lucida in the north of Minas Gerais State, Brazil.Most individuals of D. lucida were dead or broken, but possible causes such as the destruction of their habitat or competition were not determined. The presence of this ant outside its original endemic area indicates the possible presence of isolated populations of D. lucida. Keyword: Adaptation. Ant. Atlantic Forest. Fragmentation. Insects.      

scholarly journals Suitability Evaluation of Typical Drought Index in Soil Moisture Retrieval and Monitoring Based on Optical Images

2020 ◽  
Vol 12 (16) ◽  
pp. 2587
Author(s):  
Yan Nie ◽  
Ying Tan ◽  
Yuqin Deng ◽  
Jing Yu
Keyword(s):  
Remote Sensing ◽  
Soil Moisture ◽  
Arid Regions ◽  
Drought Index ◽  
Dynamic Monitoring ◽  
Landsat 8 ◽  
Landsat 8 Oli ◽  
Rapid Acquisition ◽  
Semi Arid ◽  
Soil Moisture Inversion

As a basic agricultural parameter in the formation, transformation, and consumption of surface water resources, soil moisture has a very important influence on the vegetation growth, agricultural production, and healthy operation of regional ecosystems. The Aksu river basin is a typical semi-arid agricultural area which seasonally suffers from water shortage. Due to the lack of knowledge on soil moisture change, the water management and decision-making processes have been a difficult issue for local government. Therefore, soil moisture monitoring by remote sensing became a reasonable way to schedule crop irrigation and evaluate the irrigation efficiency. Compared to in situ measurements, the use of remote sensing for the monitoring of soil water content is convenient and can be repetitively applied over a large area. To verify the applicability of the typical drought index to the rapid acquisition of soil moisture in arid and semi-arid regions, this study simulated, compared, and validated the effectiveness of soil moisture inversion. GF-1 WFV images, Landsat 8 OLI images, and the measured soil moisture data were used to determine the Perpendicular Drought Index (PDI), the Modified Perpendicular Drought Index (MPDI), and the Vegetation Adjusted Perpendicular Drought Index (VAPDI). First, the determination coefficients of the correlation analyses on the PDI, MPDI, VAPDI, and measured soil moisture in the 0–10, 10–20, and 20–30 cm depth layers based on the GF-1 WFV and Landsat 8 OLI images were good. Notably, in the 0–10 cm depth layers, the average determination coefficient was 0.68; all models met the accuracy requirements of soil moisture inversion. Both indicated that the drought indices based on the Near Infrared (NIR)-Red spectral space derived from the optical remote sensing images are more sensitive to soil moisture near the surface layer; however, the accuracy of retrieving the soil moisture in deep layers was slightly lower in the study area. Second, in areas of vegetation coverage, MPDI and VAPDI had a higher inversion accuracy than PDI. To a certain extent, they overcame the influence of mixed pixels on the soil moisture spectral information. VAPDI modified by Perpendicular Vegetation Index (PVI) was not susceptible to vegetation saturation and, thus, had a higher inversion accuracy, which makes it performs better than MPDI’s in vegetated areas. Third, the spatial heterogeneity of the soil moisture retrieved by the GF-1 WFV and Landsat 8 OLI image were similar. However, the GF-1 WFV images were more sensitive to changes in the soil moisture, which reflected the actual soil moisture level covered by different vegetation. These results provide a practical reference for the dynamic monitoring of surface soil moisture, obtaining agricultural information and agricultural condition parameters in arid and semi-arid regions.

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