ライフサイエンスコーパス: remote sensing

1 applications, spanning biological imaging to remote sensing.

2 nce in astronomy, spectroscopy, biology, and remote sensing.

3 not previously sampled, but consistent with remote sensing.

4 widespread melt during the era of satellite remote sensing.

5 many applications such as micro-endoscopy or remote sensing.

6 of considerable value to both microscopy and remote sensing.

7 ine-scale variation than the model including remote sensing.

8 ing leaf age with important implications for remote sensing.

9 influence on tea quality through the use of remote sensing.

10 lation produced more accurate estimates than remote sensing.

11 maging, display, holographics, metrology and remote sensing.

12 fixation and how we estimate these rates via remote sensing.

13 trasound testing, photoacoustic imaging, and remote sensing.

14 isms or distributed into the environment for remote sensing.

15 tive for its internal heat to be detected by remote sensing.

16 nder way according to local plot studies and remote sensing.

17 s for use of filament-solid interactions for remote sensing.

18 , low cost, capability of online monitoring, remote sensing.

19 urface phenology and wildfire estimates from remote sensing.

20 applications such as object recognition and remote sensing.

21 n" carbon (BrC) with surface and space-based remote sensing.

22 biomedical and industrial imaging as well as remote sensing.

23 w cost, possibility of online monitoring and remote sensing.

24 as: (1) the combination of field surveys and remote sensing; (2) evaluation of biodiversity and carbo

25 ect connections to the cell specimen (i.e., "remote sensing", a noninvasive/minimally invasive approa

26 ionary scale, this led to the development of remote sensing abilities and behavioral strategies to lo

27 s real time and online monitoring along with remote sensing abilities which makes the sensor usable f

28 cles, providing interesting features such as remote-sensing ability, incident-angle independent reson

29 spatiotemporal model that utilized satellite remote-sensing aerosol optical depth data.

30 ion zone below was invisible to conventional remote sensing after just 3 months.

31 focused on cold season measurements (active remote sensing, aircraft, and tall towers) and systemati

32 information for over 1,200 bird species with remote-sensing analyses to estimate temporal variation i

33 h combining population genetics modeling and remote-sensing analyses.

34 d-use pixel links, data and measurement, and remote sensing analysis.

35 ed a large-scale, high-resolution, automated remote-sensing analysis of selective logging in the top

36 Remote sensing and analytical chemistry identified expos

37 t ecosystem flux measurements with satellite remote sensing and atmospheric inverse modeling to quant

38 g applications in navigation, communication, remote sensing and basic science.

39 leviewer logging and radar measurements with remote sensing and firn modelling to investigate the lay

40 and compared the predictive capabilities of remote sensing and geostatistical interpolation.

41 high demand for prospective applications in remote sensing and imaging.

42 oud relationships in climate models, for new remote sensing and in situ measurements, and for quantif

43 the atmospheric burden of CH4 determined via remote sensing and inversion modelling, pointing to a ma

44 udy suggests that a combination of satellite remote sensing and land use regression can be useful for

45 y analysed trends in vegetation change using remote sensing and linear regression.

46 umber of applications in biomedical imaging, remote sensing and material characterization.

47 em to environmental covariates obtained from remote sensing and ocean models, and built habitat-based

48 nsor probe over optical fiber substrate adds remote sensing and online monitoring feasibilities.

49 reviously it has never been demonstrated via remote sensing and results in relative stability in vege

50 s real time applications, online monitoring, remote sensing and reusability.

51 As described in the Remote Sensing and Signaling (RSS) Hypothesis, many of t

52 Here we further develop this "remote sensing and signaling hypothesis" and suggest how

53 As described in the "Remote Sensing and Signaling Hypothesis", highly regulat

54 We discuss our data in the context of the "remote sensing and signaling hypothesis".

55 Consistent with the Remote Sensing and Signaling Hypothesis, the data suppor

56 rgan and inter-organismal communication: The Remote Sensing and Signaling Hypothesis.

57 ous pathways and may be involved in a larger remote sensing and signaling system.

58 ser frequency combs including high-precision remote sensing and spectroscopy.

59 heterogeneous surface that may be defined by remote sensing and statistical tools.

60 used in large-scale studies of biodiversity (remote sensing and trait databases) with theoretical adv

61 past harvest, we combined our fieldwork with remote sensing and used analyses of ~60 expeditions from

62 ctural integrality (PSI) values derived from remote sensing and validated by field measurements.

63 Combining remote-sensing and ground-based observations with a size

64 nvestigate an extreme event with multi-point remote-sensing and in situ observations.

65 e use a combination of atmospheric modeling, remote sensing, and adjoint sensitivity analysis to indi

66 teorological data, species composition maps, remote sensing, and ground-based observations to estimat

67 ergreen photosynthetic activity from optical remote sensing, and indicates an important regulatory ro

68 By combining ecosystem models, multiscale remote sensing, and networks of field plots, we will be

69 Climate monitoring over 6 decades, remote sensing, and repeated surveys of 49 ponds indicat

70 pplications in optical signal processing and remote sensing, and the use of a nonlinear optical mater

71 n with traditional combinations of modeling, remote-sensing, and field measurements.

72 Benchtop remote sensing applications are becoming important in in

73 ysis at standoff distances is impor-tant for remote sensing applications in diverse ares, such as nuc

74 ential of the technique for a wider range of remote sensing applications that require isotopic sensit

75 applications including trace gas analysis in remote sensing applications with differential absorption

76 rward direction, provides a tool for various remote-sensing applications.

77 We propose a remote sensing approach for comprehensively mapping the

78 This remote sensing approach indicates the geographic extent,

79 The proposed satellite remote sensing approach to derive numeric criteria may b

80 Field and remote sensing approaches revealed increases in average

81 Traditional modeling and remote-sensing approaches are not well suited to tropica

82 -powered cars </= 3 years old measured using remote sensing are found to be 1.3 times higher than pub

83 However, the observed changes based on remote sensing are the result of multiple environmental

84 pments in the biomedical, civil engineering, remote sensing, artificial skin areas, as well as wearab

85 ese findings support the fundamental role of remote sensing as an effective lens through which to und

86 hat is a major source of uncertainty in most remote sensing based GPP models.

87 Here we produced a long-term (1982-2013) remote sensing based land ET record and investigated mul

88 nover rate (k) derived from a combination of remote sensing based products of biomass and net primary

89 SA National Phenology Network, and satellite remote sensing-based observations of phenology, we estim

90 these data suggest a possible mechanism for remote sensing between OATs in different tissue compartm

91 of distant objects, which is of interest in remote sensing, biomedical imaging, as well as monitorin

92 ome extent coherent with trends estimated by remote sensing, but there are wide areas where remote-se

93 Detection will be made by remote sensing by sophisticated space telescopes.

94 Remote sensing can be benchtop based, and therefore acqu

95 ) parameter from satellite passive microwave remote sensing can detect changes in canopy biomass stru

96 areas of the world without such monitoring, remote sensing can provide useful exposure estimates tha

97 These elements of remote sensing can yield temperatures, compositions and

98 nd can be easily coupled to fiber optics for remote sensing capabilities.

99 d experiments, repeat field observations and remote-sensing capabilities, together with updated metho

100 the waveform should be selected for use in a remote sensing configuration are discussed.

101 igital image processing routine adapted from remote sensing (consisting of image preprocessing, endme

102 son of different focal patch sizes including remote sensing data and an in-situ measure showed that p

103 Using remote sensing data and global databases, we calibrated

104 d tower observations of atmospheric CO2 with remote sensing data and meteorological products to deriv

105 ing Normalized Differential Vegetation Index remote sensing data and over 500 household interviews, a

106 he TSP on wheat crop yield be detected using remote sensing data and what is the impact?

107 nstrate how in situ observation networks and remote sensing data can be used to synergistically calib

108 Comprehensive analyses of remote sensing data during the three-year effort to sele

109 Correcting optical remote sensing data for artefacts of sun-sensor geometry

110 Public domain remote sensing data for the Bay of Bengal were compared

111 Analyses of remote sensing data from pre- and post-establishment per

112 Satellite remote sensing data have indicated a general 'greening'

113 S., for the period 2005-2010 using satellite remote sensing data in combination with land use regress

114 The remote sensing data included sea surface temperature and

115 f passive Fourier transform infrared (FT-IR) remote sensing data is made difficult by the presence in

116 Remote sensing data of mangrove cover over time are inte

117 updated spatial ethnic settlement data, and remote sensing data on agricultural land use.

118 Remote sensing data over North America document the ubiq

119 parent green up of Amazon forests in optical remote sensing data resulted from seasonal changes in ne

120 emporal trend analysis using satellite-based remote sensing data reveals that land-cover and land-use

121 An urban remote sensing data set collected in 2008 is used to def

122 Remote sensing data show that in 2010, 43% of all agricu

123 Here we use remote sensing data to measure the velocity of Jakobshav

124 ed 23 cranes with telemetry devices and used remote sensing data to model flood dynamics during three

125 Here I use remote sensing data to show that the light-toned outcrop

126 We used remote sensing data to show that this precocious phenolo

127 ropean Driving Cycle is synthesized from the remote sensing data using vehicle specific power to char

128 ogical interpretations of the sites based on remote sensing data were less certain and less successfu

129 trended correspondence analysis of satellite remote sensing data were used to design an effective low

130 landing sites based on existing and acquired remote sensing data will be successful.

131 used a suite of surface-based observations, remote sensing data, and a surface energy-balance model.

132 awrence whelping region from 1991-2010 using remote sensing data, and harp seal stranding data were c

133 By using a variety of new remote sensing data, regional modeling, trajectory model

134 lance product, evaluated against in situ and remote sensing data, to identify 1997 (+/-5 years) as a

135 rest inventory, airborne lidar and satellite remote sensing data.

136 , chemical transport modeling, and satellite remote sensing data.

137 plains in both visible and thermal infrared remote sensing data.

138 kelvin at 1 nanobar, consistent with Voyager remote sensing data.

139 sponse to the environment, particularly with remote sensing data.

140 ield in real world cropping landscapes using remote sensing data; this has important implications for

141 Remote-sensing data at a scale of generally greater than

142 Remote-sensing data have revealed a peak in stratospheri

143 Preliminary geological mapping and remote-sensing data indicated that exposed alteration is

144 Here we use satellite remote-sensing data of tropical precipitation and vegeta

145 slowdown by linking agricultural census and remote-sensing data on deforestation and forest degradat

146 field data from a Costa Rican SDTF site and remote-sensing data over Central America.

147 We integrated remote-sensing data with environmental and socio-economi

148 Unlike the use of remote-sensing data, SAPM actively engages fishers in pa

149 between the aerial photography and satellite remote sensing demonstrated that quantifying the distrib

150 Remote sensing-derived wheat crop yield-climate models w

151 Remote sensing describes the characterization of the sta

152 mazon forest by integrating field plot data, remote sensing disturbance probability distribution func

153 ecological, paleoethnobotanical, hydraulic, remote sensing, edaphic, and isotopic evidence that reve

154 characterize global forest change dynamics, remote sensing efforts must extend beyond estimating GFC

155 00 km from a monitoring station, whereas the remote sensing estimate was more accurate for locations

156 LUR models were based on remote sensing estimates of PM2.5, land use and traffic

157 Large uncertainties in remote-sensing estimates of phenology significantly limi

158 es, but relatively few studies have compared remote-sensing estimates to those derived from monitor-b

159 ry applications, biomacromolecule materials, remote sensing, etc.

160 s, challenges, and future prospects in using remote sensing for supporting ecosystem services' quanti

161 Amazon deforestation has been measured by remote sensing for three decades.

162 , Titan, remains an enigma, explored only by remote sensing from Earth, and by the Voyager and Cassin

163 g the past few decades, technologies such as remote sensing, geographical information systems, and gl

164 ze macroscopic spatial data in the fields of remote sensing, geography, and geology.

165 l soil erosion model, using a combination of remote sensing, GIS modelling and census data.

166 Recent developments in remote sensing, global chemical-transport models, and im

167 However, satellite remote sensing had the potential to provide adequate dat

168 ng "photosynthetic phenology" from satellite remote sensing has been difficult, presenting challenges

169 Remote sensing has emerged as an important means of esti

170 Atmospheric remote sensing has played a pivotal role in the increasi

171 dation, but recent developments in satellite remote sensing have gone far towards reducing these unce

172 table to assess plant production and NEE via remote sensing; however, high Arctic wetland extent is c

173 saliency-based compressive sampling (CS) for remote sensing image signals, the saliency information o

174 dels provide an intuitive way of integrating remote sensing imagery into large-scale forest monitorin

175 We traced P sources by combining remote sensing imagery with the first measurements of st

176 d using object-based cover classification of remote sensing imagery, net uptake of CO2 (-1.4 +/- 0.6

177 to inter-annual or seasonal variations among remote sensing images should be considered in the wetlan

178 wider application could enhance the role of remote sensing in ecosystem analysis and management.

179 erefore exist between quality parameters and remote sensing in particular for the TV clones.

180 Observation systems (remote sensing, in situ) are increasingly being used to

181 r, lidar, high-flying aircraft and satellite remote sensing - indicate that the input is between 5 an

182 Remote sensing indicated elevation-dependent increases i

183 Remote sensing indicates that an intrusion began after e

184 ion in CO2 and CH4 fluxes had good satellite remote sensing indicators, and we estimated the region t

185 ere models used in climate prediction and of remote sensing indices of global biosphere productivity.

186 This review highlights how remote sensing influences entomological research by enab

187 mote sensing, but there are wide areas where remote-sensing information did not match the forest grow

188 The Imaging Ultraviolet Spectrograph, a remote sensing instrument on the Mars Atmosphere and Vol

189 r-infrared spectral regions with two optical remote sensing instruments on the Cassini spacecraft at

190 lity of the soil medium and the inability of remote-sensing instruments to measure R(S) on large scal

191 ures from passive Fourier transform infrared remote sensing interferogram data.

192 porated changes in wetland area derived from remote sensing into a dynamic CH4 model to quantify the

193 out remote sensing, respectively, suggesting remote sensing is a strong predictor of ground-level con

194 the status and physiology of biocrusts with remote sensing is limited due to the heterogeneous natur

195 Remote sensing is revolutionizing the way we study fores

196 ean orangutans with high-resolution airborne remote sensing (Light Detection and Ranging) to understa

197 long-standing discrepancies with ultraviolet remote sensing measurements, indicating likely deficienc

198 e summer of 2004, consistent with the latest remote sensing measurements.

199 a combined geographic information system and remote sensing method to quantify the key proximate driv

200 Here, we introduce remote sensing methods to "peer through" atmospheric con

201 s, underscoring the need to combine plot and remote-sensing methods for estimating net landscape carb

202 AVs fill a niche but do not replace existing remote-sensing methods.

203 d carbon dynamics are poorly known, and (ii) remote-sensing metrics of canopy greenness may be insens

204 Here, we combine atmospheric mass balance, remote sensing-modeled datasets of vegetation C uptake,

205 Remote sensing observations and the direct sampling of m

206 Our high-frequency remote sensing observations of CO2 and coemitted polluta

207 strate the feasibility of using simultaneous remote sensing observations of column abundances of CO2,

208 es the need for more coordinated in situ and remote sensing observations to track changes in ecosyste

209 er, and only theoretical models derived from remote sensing observations were available for describin

210 Using satellite remote sensing observations, here we focus on investigat

211 s unexpected given the low upper limits from remote sensing observations.

212 ues are generally consistent with Viking and remote sensing observations.

213 Through combining geological and remote-sensing observations with numerical modelling, we

214 solutions for granular flows constrained by remote-sensing observations, we develop a consistent met

215 genetic data were combined with 13 years of remote sensing oceanographic data of variables known to

216 nge in relating ground-based measurements to remote sensing of aerosol properties.

217 cost and capability of online monitoring and remote sensing of analyte due to the fabrication of the

218 with abilities towards online monitoring and remote sensing of analyte.

219 This pattern was corroborated by top-down remote sensing of area-integrated canopy phosphorus conc

220 vents whose proper interpretation will allow remote sensing of calving processes occurring at increas

221 mical, and physical sensors on moorings with remote sensing of chlorophyll.

222 t condition-informative cues that facilitate remote sensing of floral profitability by discriminating

223 ot a specific critique of articles espousing remote sensing of foliar %N.

224 hat surface characteristics of leaves impact remote sensing of its internal constituents.

225 of PROSPECT-MP for improving capabilities of remote sensing of leaf photosynthetic pigments (chloroph

226 presented here is generic to the problem of remote sensing of leaf-tissue constituents and is theref

227 s a key role in the geophysics, biology, and remote sensing of sea ice.

228 Recent advances in the remote sensing of solar-induced chlorophyll fluorescence

229 achieved atomic-scale spatial resolution in remote sensing of spins may ultimately allow the structu

230 ising effect might open new perspectives for remote sensing of water vapor and ice in the upper tropo

231 Volatiles detected by remote sensing on the surface of the Moon likely have a

232 are widely used in communications, infrared remote sensing, optical detection, and other fields.

233 dology can also be adopted for other similar remote sensing or advanced imaging applications such as

234 Here, a novel remote-sensing phenology approach is developed that adva

235 Here we use passive ocean acoustic waveguide remote sensing (POAWRS) in an important North Atlantic f

236 on of sources, including population surveys, remote sensing, pollen dispersal profiles, herbarium dat

237 unique characteristic may provide a suitable remote sensing probe using circular polarization spectro

238 oductivity, suggesting that widely available remote sensing products can be used as an early warning

239 Satellite remote sensing provided information on flow patterns, th

240 In contrast, remote sensing provides reliable area-wide data for quan

241 Here, we show using remote sensing, rainfall records and other data, that th

242 ieval of the backscattering coefficient from remote-sensing reflectance, provides an algorithm for es

243 for LUR were 0.63 and 0.11 with and without remote sensing, respectively, suggesting remote sensing

244 Here, we adopted remote sensing (RS) images from four periods (1975, 1990

245 Remote sensing (RS) is increasingly used for exposure as

246 sible via ocean colour measurements from two remote sensing satellites - the Coastal Zone Colour Scan

247 m vivax malaria and land-use irrigation from remote sensing sources, we show that this transition is

248 Therefore, we analyzed 19 years of data from remote-sensing spacecraft and forest inventories to iden

249 Combining fieldwork, remote sensing, spatial pattern analysis, and process-ba

250 hat earthquake rates can provide a practical remote-sensing stress meter.

251 oint in the mid to late 1990s as reported by remote-sensing studies can be verified by most of the gr

252 ing a modelling approach in combination with remote sensing, supported by rigorous ground-truthing, w

253 cate these linkages by integrating data from remote sensing surveys, ground-level surveys and ethnogr

254 est area are lower than national reports and remote-sensing surveys from the United Nations Food and

255 e report measurements using a new DIAL laser remote sensing system for volcanic CO2 (CO2DIAL).

256 We deployed an airborne remote sensing system that mapped the location and impac

257 Using a new airborne remote sensing system, we mapped the three-dimensional (

258 In this paper, we review relevant remote sensing systems, sensor types, and methods applic

259 why our findings are due to a difference of remote sensing technique and not to the definition of dr

260 zation spectroscopy could provide a powerful remote sensing technique for generic life searches.

261 e kilometers and continuously monitored by a remote sensing technique in which the ocean acts as an a

262 fundamental shift to high-resolution active remote sensing techniques as a primary sampling tool in

263 tical emission physics and holds promise for remote sensing techniques employing nonlinear spectrosco

264 We used remote sensing techniques to investigate the association

265 We used remote sensing techniques to map land-use change across

266 The remote sensing techniques used to characterize such plan

267 Although radar remote sensing techniques using interferometric phase me

268 o observe in situ and difficult to detect by remote sensing techniques.

269 organic materials in the water column using remote sensing techniques.

270 undary may be missed by conventional passive remote-sensing techniques and climate models.

271 ason is real, or an apparent artifact of the remote-sensing techniques used to infer seasonal changes

272 Furthermore, novel remote sensing technologies are creating intriguing inte

273 We find that current satellite remote sensing technologies can detect changing uptake a

274 Despite important challenges, airborne remote sensing technologies will undoubtedly be of major

275 This unanticipated application of satellite remote-sensing technology provides insights pertaining t

276 detection and ranging (LiDAR), a laser-based remote-sensing technology that is capable of penetrating

277 evidence from both surface measurements and remote sensing that demonstrates the highly dynamic natu

278 ions in fields such as the life sciences and remote sensing that require high efficiency over a preci

279 highlight the potential of state-of-the-art remote sensing to anticipate an increased likelihood of

280 iance flux tower measurements with satellite remote sensing to characterize the impacts of boreal for

281 These findings extend OAM-based remote sensing to detection of non-rotational qualities

282 cal proxy was developed and implemented with remote sensing to determine the first pan-Arctic distrib

283 We used remote sensing to identify potential habitat within the

284 on, we developed models that could use LiDAR remote sensing to link leaf area profiles with tree size

285 globally and also evaluated the potential of remote sensing to observe these quantities.

286 wide spectrum of applications, ranging from remote sensing to terahertz generation to lightning cont

287 Our findings, based on remote sensing tools coupled with empirical data suggest

288 these models requires affordable large-scale remote-sensing tools associated with a robust network of

289 rosols cannot be constrained using satellite remote sensing under cloudy conditions.

290 g techniques in conjunction with climate and remote-sensing variables.

291 personal perspective on exoplanet theory and remote sensing via photometry and low-resolution spectro

292 s offer unique characteristics attractive to remote sensing via techniques such as remote laser-induc

293 g impacts of climate extremes identified via remote sensing vs. ground-based observational case studi

294 ctional traits, nutrient excretion, and land remote sensing, we present four key findings.

295 mum round trip) the SERS signals obtained by remote sensing were rather strong, ~5% the intensity of

296 s based solely on satellite optical-infrared remote sensing, while the VOD parameter enables more com

297 Remote sensing, with the use of satellite imagery, offer