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| 1 | Clinical failure of vancomycin treatment of Staphylococcus aureus infection in A Tertiary Care Hespital in-seuthem Brazil显示文摘 | Lutz L Machado A Kuplich N | 2003 | Braz J Infect Dis2003，7，： | 1 |
| 2 | JERS- 1/SAR backscatter and its relationship with biomass of regenerating forests显示文摘 | KUPLICH T M SALVATORI V CURRAN P J | 2000 | International Journal of Remote Sensing2000，21，12： | 1 |
| 3 | Bamboo-dominated forests of the southwest Amazon: detection, spatial extent, life cycle length and flowering waves显示文摘 | de Carvalho A L Nelson B W Bianchini M C Plagnol D Kuplich T M Daly D C | 2013 | PLoS One2013，，54： | 1 |
| 4 | The study of ERS- 1 SAR and Landsat TM synergism for land use classification 显示文摘 | Kuplich T M Freitas C C Soares J V | 2000 | International Journal of Remote Sensing2000，21，10： | 1 |
| 5 | Modeling small watersheds in Brazilian Amazonia with shuttle radar topographic mission-90 m data显示文摘 | VALERIANO M M KUPLICH T M STORINO M | 2006 | Computers & Geosciences2006，32，8： | 1 |
| 6 | Tropieal Forest Biomass and Its Relationship with P-band SAR Data显示文摘 | Santos J R Araujo L S Kuplich T M | 2006 | Revista Brasileira de Carografia2006，58，1： | 1 |
| 7 | Relating SARimage texture to the biomass of regenerating tropical forests显示文摘 | KUPLICH T M CURRAN P J ATKINSON P M | 2005 | International Journal of Remote Sensing2005，26，21： | 1 |
| 8 | Relating SAR image texture to the biomass of regenerating tropical forests显示文摘 | Kuplich T M Curran P J Atkinson P M | | 0，，21： | 1 |
| 9 | Relating SAR image texture to the biomass of regenerating tropical forest显示文摘 | Kuplich T M Curran P J Atkinson P M | 2005 | International Journal of Remote Sensing2005，26，21： | 1 |
| 10 | The study of ERS-1 SAR and Landsat TM synergism for land use classification显示文摘 | T. M. Kuplich C. C. Freitas J. V. Soares | 2000 | International Journal of Remote Sensing2000，，10： | 1 |
| 11 | Relating SAR image texture to the biomass of regenerating tropical forest 显示文摘 | Kuplich T M Curran P J Atkinson P M | 2005 | International Journal of Remote Sensing2005，26，21： | 1 |
| 12 | Relating SAR Image Texture to the Biomass of Re- generating Tropical Forests 显示文摘 | Kuplich T M | 2005 | International Journal of Remote Sensing2005，26，21： | 1 |
| 13 | The study of ERS-1 SAR and Landsat TM Synergism for Land Use Classification显示文摘 | Kuplich T M Freitas C C | 2000 | International Journal of Remote Sensing2000，21，10： | 1 |
| 14 | Relating SAR image texture to the biomass of regenerating tropical forests显示文摘 | KUPLICH T M | | 0，，21： | 1 |
| 15 | JERS-1/SAR backscatter and its relationship with biomass of regenerating forests显示文摘 | KUPLICH T M SALVATORI V CURRAN P J | 2000 | International Journal of Remote Sensing2000，21，12： | 1 |
| 16 | Estimation of aboveground biomass of arboreal species in the semi-arid region of Brazil using SAR(synthetic aperture radar)images显示文摘The Caatinga biome is an important ecosystem in the semi-arid region of Brazil.It has significantly degraded due to human activities and is currently a region undergoing desertification.Thus,monitoring the variation in the Caatinga biome has become essential for its sustainable development.However,traditional methods for estimating aboveground biomass(AGB)are time-consuming and destructive.Remote sensing,such as optical and radar imaging,can estimate and correlate with vegetation.Nevertheless,radar imaging is still a novelty to be applied in estimating the AGB of this biome,which is an area with little research.Therefore,this study aimed to use Sentinel-1 images to estimate the AGB of the Caatinga biome in Sergipe State(northeastern Brazil)and to verify its influencing factors.Nineteen sample plots(30 m×30 m)were selected,and the stems of individuals with a circumference at breast height(1.3 m above the ground)equal to or greater than 6.0 cm were measured,and the AGB through an allometric equation was estimated.The Sentinel-1 images from 3 different periods(green,intermediate,and dry periods)were used to consider the phenological conditions of the Caatinga biome.All the pre-processing and extraction of attributes(co-polarized VV(vertical transmit and vertical receive),cross-polarized VH(vertical transmit and horizontal receive),and band ratio VH/VV backscatter,radar vegetation index,dual polarization synthetic aperture radar(SAR)vegetation index(DPSVI),entropy(H),and alpha angle(α))were performed with Sentinel’s Application Platform.These attributes were used to estimate the AGB through simple and multiple linear regressions and evaluated by the coefficients of determination(R2),correlation(r),and root mean squared error(RMSE).The results showed that the attributes individually had little ability to estimate the AGB of the Caatinga biome in the three periods.Combined with multiple regression,we found that the intermediate period presented the equation with the best results among the observed and estimated variables(R^(2)=0.73;r=0.85;RMSE=8.33 Mg/hm^(2)),followed by the greenness period(R2=0.72;r=0.85;RMSE=8.40 Mg/hm^(2)).The attributes contributing to these equations were VH/VV,DPSVI,H,α,and co-polarized VV for the green period and cross-polarized VH for the intermediate period.The study showed that the Sentinel-1 images could be used to estimate the AGB of the Caatinga biome in the green and intermediate phenological periods since the SAR attributes highly correlated with the estimated variable(i.e.,AGB)through multiple linear equations. | Janisson B de JESUS Tatiana M KUPLICH Íkaro D de C BARRETO Fernando L HILLEBRAND Cristiano N da ROSA | 2023 | Journal of Arid Land2023，15，6： | 0 |
| 17 | Temporal and phenological profiles of open and dense Caatinga using remote sensing:response to precipitation and its irregularities显示文摘Caatinga is a typical biome of Brazil's semiarid regions and subject to climate changes.Research is needed on the relation of its features to climate events.This study analyzed the infl uence of rainfall and its irregularities in open and dense woody Caatinga vegetation.Phenological curves were generated by means of Normalized Difference Vegetation Index(NDVI)time profiles in the Grota do Angico Conservation Unit study area in Sergipe State.Rainfall data from 2000 to 2018 were collected and phenological curves generated using various estimate methods that produced the following variables:[start of season,end of season,peak of season position,length of season,mean growing season and maximum seasonal].Rainfall showed a standard intra-annual behavior,with inter-annual variations related to irregularities infl uencing Caatinga response.Dense Caatinga vegetation had higher values of NDVI in all periods,even in anomalous years compared to open Caatinga,in addition to having longer leaf coverage over the year,with an anticipated start and a more extended seasonal end.The analysis of the rainfall regime made it possible to assess its infl uence on the Caatinga and phenological profiles proved to be fundamental to understand periods of physiological change of open and dense Caatinga.These results indicate that dense Caatinga maintains physiological activity longer,which may be associated with greater moisture maintenance in a semiarid region.In addition,because it has a greater leaf cover for longer periods,the soil may be preserved and maintain its characteristics longer,reducing the effects of desertification.The results may be associated with the type of forest management and conservation in this region.The total or partial suppression of individual remnants of Caatinga should be avoided,since the most open areas have lower photosynthetic capacity,affected to a considerable extent from the effects of adverse climatic conditions.Additionally,open Caatinga has a reduced capacity for regenerating naturally and its use by communities in this semiarid region should be limited. | Janisson Batista de Jesus Tatiana Mora Kuplich íkaro Daniel de Carvalho Barreto Cristiano Niederauer da Rosa Fernando Luis Hillebrand | 2021 | Journal of Forestry Research2021，32，3： | 0 |
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