AllanJA (1978) Remote sensing in physical geography. Progress in Physical Geography2(1): 36–54.
2.
AndersonKHancockSDisneyM. (2015) Is waveform worth it? A comparison of LiDAR approaches for vegetation and landscape characterization. Remote Sensing in Ecology and Conservation. Epub ahead of print 1 November 2015. Available at: http://onlinelibrary.wiley.com/doi/10.1002/rse2.8/abstract.
3.
AtzbergerC (2013) Advances in remote sensing of agriculture: context description, existing operational monitoring systems and major information needs. Remote Sensing5(2): 949–981.
4.
BaldocchiDFalgeEGuLH. (2001) FLUXNET: a new tool to study the temporal and spatial variability of ecosystem-scale carbon dioxide, water vapor, and energy flux densities. Bulletin of the American Meteorological Society82(11): 2415–2434.
5.
BoydDS (2009) Remote sensing in physical geography: a twenty-first century perspective. Progress in Physical Geography33(4): 451–456.
6.
BrysonMJohnson-RobersonMMurphyRJ. (2013) Kite aerial photography for low-cost, ultra-high spatial resolution multi-spectral mapping of intertidal landscapes. PLoS One8(9): e73550.
7.
BurkartACogliatiSSchicklingA. (2014) A novel UAV-based ultra-light weight spectrometer for field spectroscopy. IEEE Sensors Journal14(1): 62–67.
8.
ButlerD (2014) Many eyes on Earth. Nature505(7482): 143–144.
9.
CaldersKNewnhamGBurtA. (2015) Nondestructive estimates of above-ground biomass using terrestrial laser scanning. Methods in Ecology and Evolution6(2): 198–208.
10.
ColominaIMolinaP (2014) Unmanned aerial systems for photogrammetry and remote sensing: a review. ISPRS Journal of Photogrammetry and Remote Sensing92: 79–97.
11.
CroftHChenJMNolandTL (2014) Stand age effects on Boreal forest physiology using a long time-series of satellite data. Forest Ecology and Management328: 202–208.
12.
DandoisJPEllisEC (2010) Remote sensing of vegetation structure using computer vision. Remote Sensing2(4): 1157–1176.
13.
DandoisJPEllisEC (2013) High spatial resolution three-dimensional mapping of vegetation spectral dynamics using computer vision. Remote Sensing of Environment136: 259–276.
14.
DansonFMGaultonRArmitageRP. (2014) Developing a dual-wavelength full-waveform terrestrial laser scanner to characterize forest canopy structure. Agricultural and Forest Meteorology198: 7–14.
EltnerABaumgartPMaasHG. (2015) Multi-temporal UAV data for automatic measurement of rill and interrill erosion on loess soil. Earth Surface Processes and Landforms40(6): 741–755.
FloreanoDWoodRJ (2015) Science, technology and the future of small autonomous drones. Nature521(7553): 460–466.
19.
GioliGKhanTScheffranJ (2013) Climatic and environmental change in the Karakoram: making sense of community perceptions and adaptation strategies. Regional Environmental Change14(3): 1151–1162.
HandE (2015b) Thinking inside the box. Science348(6231): 176–177.
22.
HillTCWilliamsMBloomAA. (2013) Are inventory based and remotely sensed above-ground biomass estimates consistent?PLoS One8(9): e74170.
23.
JavemickLBrasingtonJCarusoB (2014) Modeling the topography of shallow braided rivers using Structure-from-Motion photogrammetry. Geomorphology213: 166–182.
24.
LandschützerPGruberNHaumannFA. (2015) The reinvigoration of the Southern Ocean carbon sink. Science349(6253): 1221–1224.
25.
LentonTMHeldHKrieglerE. (2008) Tipping elements in the Earth’s climate system. Proceedings of the National Academy of Sciences of the United States of America105(6): 1786–1793.
26.
LorenzRDScheidtSP (2014) Compact and inexpensive kite apparatus for geomorphological field aerial photography, with some remarks on operations. GeoResJ3–4: 1–8.
27.
LucieerADe JongSMTurnerD (2014) Mapping landslide displacements using Structure from Motion (SfM) and image correlation of multi-temporal UAV photography. Progress in Physical Geography38(1): 97–116.
MarshallW (2014) TED talk: tiny satellites show us the Earth as it changes in near real time. Available at: www.ted.com/speakers/will_marshall (accessed 5 December 2015).
30.
MeroniMRossiniMGuanterL. (2009) Remote sensing of solar induced chlorophyll fluorescence: review of methods and applications. Remote Sensing of Environment113(10): 2037–2051.
31.
MillerPIScalesKLIngramSN. (2015) Basking sharks and oceanographic fronts: quantifying associations in the north-east Atlantic. Functional Ecology29(8): 1099–1109.
32.
MurrayJCNealMJLabrosseF (2013) Development and deployment of an intelligent kite aerial photography platform (iKAPP) for site surveying and image acquisition. Journal of Field Robotics30(2): 288–307.
PuttockAKCunliffeAMAndersonK. (2015) Aerial photography collected with a multirotor drone reveals impact of Eurasian beaver reintroduction on ecosystem structure. Journal of Unmanned Vehicle Systems3(3): 123–130.
36.
RascherUAlonsoLBurkartA. (2015) Sun-induced fluorescence – a new probe of photosynthesis: first maps from the imaging spectrometer HyPlant. Global Change Biology21(12): 4673–4684.
37.
SaitohS-IMugoRRadiartaIN. (2011) Some operational uses of satellite remote sensing and marine GIS for sustainable fisheries and aquaculture. ICES Journal of Marine Science68(4): 687–695.
38.
SchallerNKayALLambR. (2016) Human influence on climate in the 2014 southern England winter floods and their impacts. Nature Climate Change. Epub ahead of print 1 February 2016. DOI:10.1038/nclimate2927.
39.
SchimelDPavlickRFisherJB. (2015) Observing terrestrial ecosystems and the carbon cycle from space. Global Change Biology21(5): 1762–1776.
40.
WestobyMJBrasingtonJGlasserNF. (2012) ‘Structure-from-Motion’ photogrammetry: a low-cost, effective tool for geoscience applications. Geomorphology179: 300–314.
41.
WoodgetASCarbonneauPEVisserF. (2015) Quantifying submerged fluvial topography using hyperspatial resolution UAS imagery and structure from motion photogrammetry. Earth Surface Processes and Landforms40(1): 47–64.
42.
ZahawiRADandoisJPHollKD. (2015) Using lightweight unmanned aerial vehicles to monitor tropical forest recovery. Biological Conservation186: 287–295.
43.
ZhangJHuangSHoggEH. (2014) Estimating spatial variation in Alberta forest biomass from a combination of forest inventory and remote sensing data. Biogeosciences11(10): 2793–2808.