ライフサイエンスコーパス: remote sensing

1 ibbean at ecoregional and local scales using remote sensing.

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

3 ing leaf age with important implications for remote sensing.

4 trasound testing, photoacoustic imaging, and remote sensing.

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

6 urface phenology and wildfire estimates from remote sensing.

7 applications such as object recognition and remote sensing.

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

9 biomedical and industrial imaging as well as remote sensing.

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

11 applications, spanning biological imaging to remote sensing.

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

13 not previously sampled, but consistent with remote sensing.

14 pitation can be achieved through geophysical remote sensing.

15 widespread melt during the era of satellite remote sensing.

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

17 of considerable value to both microscopy and remote sensing.

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

19 observed in a downstream coastal bay through remote sensing.

20 One approach to observing SST is via remote sensing.

21 chlorophyll concentrations from ocean color remote sensing.

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

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

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

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

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

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

28 Using a remote sensing algorithm, we show that summertime EDMS f

29 Recent advances in remote sensing allow the detection of solar-induced chlo

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

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

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

33 cal measurements, near surface hyperspectral remote sensing and digital camera imagery, tower-based C

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

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

36 ty for the year 2010, obtained from multiple remote sensing and in situ observations at 100 m spatial

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

38 ited for instruments that are widely used in remote sensing and IoT networks.

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

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

41 Using a suite of stacked remote sensing and LST datasets from the 1980s to the pr

42 We leverage remote sensing and machine learning to quantify biogenic

43 Here we use satellite remote sensing and maize yield data in the state of Nebr

44 Remote sensing and manipulation of quantum emitters are

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

46 n of crop growth based on publicly available remote sensing and meteorological data.

47 By conflating heterogeneous phenology-based remote sensing and meteorological indices, the LSTM mode

48 Satellite remote sensing and numerical models are widely used to e

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

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

51 Through a combination of ground, satellite remote sensing and reanalysis products, we investigate t

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

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

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

55 The Remote Sensing and Signaling Hypothesis argues that an A

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

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

58 enes, we built a tentative gut-liver-kidney "remote sensing and signaling network" consisting of SLC

59 gnaling pathways in vivo As suggested by the Remote Sensing and Signaling Theory, the analysis provid

60 This Review discusses how the remote sensing and signalling hypothesis helps to provid

61 The remote sensing and signalling hypothesis identifies SLC

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

63 new technologies, including developments in remote sensing and system dynamics modelling techniques,

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

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

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

67 study demonstrates the utility of combining remote-sensing and biochemical data in examining biologi

68 f photosynthesis (EOP), using data from both remote-sensing and flux tower-based measurements.

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

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

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

72 field trait surveys, eddy-flux observation, remote sensing, and ecological models, and thereby provi

73 by coordinated efforts in plant physiology, remote sensing, and eddy covariance flux observations.

74 ining chemical transport modeling, satellite remote sensing, and ground-based measurements.

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

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

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

78 n of polarization imaging in machine vision, remote sensing, and other areas.

79 are important for studies in fluid dynamics, remote sensing, and polarimetry.

80 proach based on optical, acoustic, satellite remote sensing, and simulations, to connect the characte

81 t, due to periods of snow cover, which limit remote sensing, and the small size of the biota present.

82 Benchtop remote sensing applications are becoming important in in

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

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

85 ng for potential multiplexing and its use in remote sensing applications.

86 accurate nitrogen concentration readings in remote-sensing applications.

87 Our remote sensing approach enables the rapid and repeated a

88 Field and remote sensing approaches revealed increases in average

89 This finding will aid development of remote sensing approaches that can be used to characteri

90 Satellite and ground-based remote sensing are combined to characterize lightning oc

91 e-scale ecological observation networks, and remote sensing are improving current estimates and forec

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

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

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

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

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

97 mum (PM2.5), and 1 mum (PM1) using satellite remote-sensing based models.

98 We developed an operational remote sensing-based hurricane flood extent mapping meth

99 set), we conclude that the use of plant- and remote sensing-based metrics that rely on tissue stoichi

100 d discuss the potential of soil-, plant- and remote sensing-based metrics to compare the nutrient sta

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

102 ultitemporal machine-learning approach using remote sensing big data for the detection of archaeologi

103 from in situ forest inventories, as well as remote sensing, bioclimatic, topographic, and human foot

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

105 for long distance optical communication and remote sensing, but it results in nonlinear-effect drive

106 opies have been documented with near-surface remote sensing, but the physiological mechanisms underly

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

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

109 Remote sensing can be benchtop based, and therefore acqu

110 drought-sensitivity patterns discerned from remote sensing can complement plot-scale studies of plan

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

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

113 Advances in remote sensing challenge ecologists to relate informatio

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

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

116 Using remote sensing data and global databases, we calibrated

117 (stable, slow increase, fast increase) using remote sensing data and image classification methods.

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

119 Here, we use hybrid remote sensing data and methods to recover the four-dime

120 Our analysis that exploits remote sensing data and numerical models provides a clue

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

122 These results indicate that remote sensing data can be used to assess the areas of p

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

124 On the basis of vehicle emission remote sensing data for 300000 light-duty vehicles acros

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

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

127 This detailed interpretation of remote sensing data improves estimates of forest attribu

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

129 ns using high-resolution camera trapping and remote sensing data in the best-preserved European lowla

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

131 s are consistent with expectations made from remote sensing data prior to landing indicating a surfac

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

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

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

135 Remote sensing data that are efficiently used in ecologi

136 sive set of climatic, topographic, soil, and remote sensing data to develop models capable of making

137 terogeneous crop phenology, meteorology, and remote sensing data to estimate county-level corn yields

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

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

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

141 Using field and remote sensing data, total forest aboveground biomass (A

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

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

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

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

146 ced over Italy for 2013-2015 using satellite remote-sensing data and an ensemble modeling approach.

147 Remote-sensing data have revealed a peak in stratospheri

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

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

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

151 rchical models and high-resolution satellite remote-sensing data, we determined the relative influenc

152 d flux tower observations and spatiotemporal remote sensing datasets are of potential value in benchm

153 In parallel, emerging remote sensing datasets promise qualitatively new and mo

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

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

156 Remote sensing describes the characterization of the sta

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

158 ssion estimates that combine highly detailed remote sensing emission data with over 4000 km of 1 Hz r

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

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

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

162 er important insights into the capability of remote sensing for monitoring food availability in tropi

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

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

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

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

167 ger methane plumes detected via ground-based remote sensing, however their origin have not yet been a

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

169 es of data (reanalysis, weather station, and remote sensing image data) to assess variations in Euras

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

171 This work supports the use of multitemporal remote sensing imagery as a reliable source of data for

172 Complementary evidence from airborne remote sensing imagery indicates atmospheric venting fro

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

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

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

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

177 romising results regarding the capability of remote sensing in characterizing suspended sediment in t

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

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

180 Using a novel remote sensing index of canopy greenness limitation, we

181 Remote sensing indicated elevation-dependent increases i

182 Remote sensing indicates that an intrusion began after e

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

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

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

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

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

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

189 Remote-sensing investigations indicate that cataclysmic

190 From these remote-sensing investigations, we identified a suitable

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

192 Ocean-colour remote sensing is currently the only technique providing

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

194 Remote sensing is revolutionizing the way we study fores

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

196 gh potential to close a missing link between remote sensing measurements and the 3D structure of fore

197 study, we use comprehensive vehicle emission remote sensing measurements of over 230,000 passenger ca

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

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

200 Although remote sensing methods for mapping discontinuities have

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

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

203 heterogeneity variables from field-based and remote sensing metrics) and ecological context (species

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

205 ions and soil moisture estimation, microwave remote sensing observations are also sensitive to plant

206 Using satellite and seismic remote sensing observations combined with three-dimensio

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

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

209 Yet, remote sensing observations of mountain snow depth are s

210 we introduce the principles behind microwave remote sensing observations to illustrate how they are s

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

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

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

214 lobal time series of fine-spatial-resolution remote sensing observations.

215 es primarily on ground surface and satellite remote sensing observations.

216 ASA's Landsat program (the longest record of remote-sensing observations of the Earth) on academic sc

217 We present close-range remote-sensing observations of the main rings from the C

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

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

220 those apparent from the analyses of orbital remote-sensing observations.

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

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

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

224 le via magnetic resonance imaging enable the remote sensing of biological fields.

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

226 Using satellite remote sensing of deformation, gas emissions and thermal

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

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

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

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

231 Phytopathological aspects of remote sensing of plant diseases across different scales

232 es behind the rapid advances in proximal and remote sensing of plants in fields.

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

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

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

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

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

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

239 ese data point to the potential utility of a remote sensing product for assessing belowground propert

240 several proxies of ecosystem productivity: a remote sensing product of aboveground biomass, an net pr

241 d biomass, an net primary productivity (NPP) remote sensing product, an NPP model-based product and f

242 and test the approach against 1-km aircraft remote sensing products and through comparisons of downs

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

244 Satellite remote sensing provided information on flow patterns, th

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

246 Between 300 and 800 remote sensing records are needed to approximate also th

247 We find that no more than 200 remote sensing records are sufficient to approximate the

248 Instead, Chl-a is estimated from remote sensing reflectance (R(RS)): the ratio of upwelli

249 d chlorophyll-a, backscatter, absorption and remote sensing reflectance at 412 nm suggest that dredgi

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

251 "status" of a crop better than any model or remote sensing retrieval.

252 and ranging (LiDAR), are essential tools in remote sensing, robotic vision, and autonomous driving.

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

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

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

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

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

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

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

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

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

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

263 Remote sensing techniques offer valuable tools for mappi

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 High-resolution remote sensing techniques, e.g., spaceborne lidar, can m

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 tant in evergreen forests, where traditional remote-sensing techniques and terrestrial biosphere mode

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

273 Furthermore, novel remote sensing technologies are creating intriguing inte

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

275 The application of remote sensing technologies has significant potential fo

276 We review how remote sensing technologies that deliver detailed data a

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

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

279 approaches, integrating herbaria records and remote sensing to address outstanding questions in evolu

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

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

282 ch demonstrates a proof of concept for using remote sensing to detect forced labor abuses.

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

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

285 al-Argo dataset, to assess the capability of remote sensing to estimate phytoplankton phenology metri

286 We discuss opportunities for satellite remote sensing to inform decision making in cities gener

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

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

289 xonomic and newer types of data (e.g., eDNA, remote sensing), to more comprehensively assess change a

290 Hyperspectral imaging, a powerful remote sensing tool, has been widely applied in differen

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

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

293 rs of survey data (2004-2012) and a suite of remote sensing variables from sites along gradients of c

294 Here, on-road remote sensing vehicle emission measurements from 18 loc

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

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

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

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

299 Tests of this theory may combine remote sensing with a generation of networked experiment

300 Future studies will need to combine remote sensing with field-based analyses of physiologica