12.05.2013 Views

HAND, a new terrain descriptor using SRTM-DEM - DPI - Inpe

HAND, a new terrain descriptor using SRTM-DEM - DPI - Inpe

HAND, a new terrain descriptor using SRTM-DEM - DPI - Inpe

SHOW MORE
SHOW LESS

You also want an ePaper? Increase the reach of your titles

YUMPU automatically turns print PDFs into web optimized ePapers that Google loves.

Table 1<br />

Δ Function definition<br />

Flow direction Δ (Flow direction)<br />

N h0,−1i<br />

NE h1,−1i<br />

E h1,0i<br />

SE h1,1i<br />

S h0,1i<br />

SW h−1,1i<br />

W h−1,0i<br />

NW h−1,−1i<br />

Null h0,0i<br />

Montgomery and Dietrich (1988) discussed the criteria to predict the<br />

point where channels should begin (headwater). One of the first<br />

procedures for delineating drainage networks (O'Callaghan and Mark,<br />

1984) used a minimum contributing area threshold to identify<br />

channel beginning. The drainage network is thus defined by those<br />

grid points that have a contributing area greater than a given<br />

threshold. The contributing area is computed by counting the number<br />

of points whose flow paths converge to the considered point.<br />

Considering a given point h i,j i, we can determine its neighborhood<br />

as<br />

Nðhi; jiÞ<br />

¼ fhk; liaGjk ¼ fi1; i; i 1g;<br />

l ¼ fj1; j; j þ 1g;<br />

hk; liphi; jig<br />

ð2Þ<br />

The points in N(hi,ji) are called the neighbors of h i,j i.Ifpointh i,j i is<br />

not on the border grid (i≠1, i≠c, j≠1 andj≠r), then it has 8 neighbors,<br />

that is<br />

Nðhi; jiÞ<br />

¼ fhi1; j 1i; hi 1; ji; hi 1; j þ 1i; hi; j 1i; hi; j þ 1i;<br />

hi þ 1; j 1i; hi þ 1; ji; hi þ 1; j þ 1ig<br />

otherwise, it will have less than 8 neighbors.<br />

Based on the D8 method, the point hi,ji can be hydrologically<br />

connected to only one of its neighbors. If F(hi,ji) is the point to which hi,ji<br />

flows, it can be defined as:<br />

Fðhi; jiÞ<br />

¼hi; jiþDðLDDðhi; jiÞÞ<br />

ð4Þ<br />

where Δ is a function that represents the relative position hΔi,Δji<br />

between two hydrologically connected points. Table 1 shows the<br />

correspondence between the flow directions and the relative positions.<br />

Note that if point hi, ji is a pit, then F(hi, ji)=hi, ji.<br />

The contributing area of point hi, ji, defined as A(hi,ji), is computed<br />

through an iterative process.<br />

Let A t (hi, ji) be the contributing area of the point hi, ji in the t th<br />

iteration. In the first iteration (t=1)<br />

A 1 ðhi; jiÞ<br />

¼<br />

1 ifhi; jigFðGÞ 0 otherwise<br />

where F(G) represents the set of all upward points connected to any<br />

given point, that is<br />

FG ð Þ ¼ fhk; liaGjahi; jiaNðhk; liÞjFðhi;<br />

jiÞ<br />

¼ hk; lig:<br />

ð6Þ<br />

In this first iteration, the contributing area of all points that initiate<br />

a flow path is equal to one.<br />

For the other iterations (tN1)<br />

A t A<br />

ðhi; jiÞ<br />

¼<br />

t 1ðhi; jiÞ<br />

if At 1ðhi; jiÞp0<br />

1 þ P<br />

F−1ðhi;jiÞAt 1ðhk; liÞ<br />

if 0gAt 1 F 1 8<br />

<<br />

ðhi; jiÞ<br />

:<br />

0 otherwise<br />

ARTICLE IN PRESS<br />

4 C.D. Rennó et al. / Remote Sensing of Environment xxx (2008) xxx-xxx<br />

ð3Þ<br />

ð5Þ<br />

ð7Þ<br />

where F − 1 (hi, ji) represents a set of all neighbors of point hi,ji that flow<br />

to it, that is<br />

F 1 ðhi; jiÞ<br />

¼ fhk; liaNðhi; jiÞjFðhk;<br />

liÞ<br />

¼ hi; jig<br />

ð8Þ<br />

The iteration process stops (t=n) when, for any point hi,ji, A t −1 (hi,ji)≠0,<br />

that is, A(hi,ji)=A n (hi,ji).<br />

The method based on the contributing area is very easy to<br />

implement and therefore widely used. Tarboton (2003) pointed out<br />

that a significant question with this method is the choice of<br />

contributing area threshold. The basic hypothesis is that channel<br />

heads, where there is a transition from convex to concave profiles, is<br />

also where concentrated fluxes begins to dominate over diffusive<br />

fluxes (Tarboton et al., 1991, 1992). Some authors have called for<br />

objective criteria to define channel heads, such as the relationship<br />

between slope and contributing area (Tarboton et al., 1991). Others use<br />

local curvatures to account for spatially variable drainage densities<br />

(Tarboton and Ames, 2001). Montgomery and Foufoula-Georgiou<br />

(1993) compared the constant contributing area with the slopedependent<br />

contributing area. Although these approaches represent<br />

progress towards the automatic determination of channel heads, the<br />

tests we conducted for Central Amazonia showed that the application<br />

of these methodologies to <strong>SRTM</strong> data did not estimate drainage<br />

density properly. We suspect that vegetation masking ground<br />

topography may be the explanation. For this reason, we decided to<br />

use the contributing area threshold as one of the main criteria to<br />

define the drainage network, validating channel heads with field data.<br />

To define the channel heads we used an additional criteria based on<br />

simplifications of horizontal and vertical geomorphic curvatures.<br />

Firstly, the channel head element should represent a convergent point,<br />

meaning it should have two or more overland flux paths converging to<br />

it (horizontal curvature). Secondly, the channel profile should be<br />

concave, i.e. where the channel head profile point has a smaller<br />

change of elevation than the mean of the elements located uphill and<br />

downhill of it (vertical curvature).<br />

2.2. The height above the nearest drainage <strong>terrain</strong> <strong>descriptor</strong><br />

To quantify relevant parameters that could uniquely identify generalizable<br />

spatial properties of hill slopes there was the need to have a local<br />

frame of variable topographic reference that should be more useful than<br />

the all encompassing and generic height ASL, or the third dimension in<br />

the <strong>DEM</strong>. Horizontal distances of <strong>DEM</strong> grid points to connected drainage<br />

channels (slope length) have been computed by a number of approaches<br />

(e.g. Tucker et al., 2001). As the initial interest in this study was to predict<br />

potential hydrological properties for each <strong>DEM</strong> grid point, especially the<br />

depth to the permanently saturated zone, this approach wasn't useful.<br />

The gravitational potential energy difference between any given grid<br />

point and the other extremity of the hill slope flow path, at the functional<br />

stream outlet (explicit in the LDD), defines a unique and permanent<br />

property of that grid point that we call draining potential. The vertical<br />

distance of a given grid point to its drainage outlet (which is<br />

hydrologically important) can in most cases be expressed as a relative<br />

height, or the height difference between those points. Thus there will be<br />

no gravitationally driven water movement between two hydrologically<br />

connected points that share the same height. Classifying all grid points<br />

according to their respective draining potentials allows them to be<br />

grouped into classes of equipotential (equivalent draining gravitational<br />

potential), defining environments or zones with inferred similar<br />

hydrological properties. The linking of every grid point to its outlet on<br />

the drainage system allows for the whole <strong>DEM</strong> to be normalized for the<br />

drainage network (adjusting point heights in relation to the drainage),<br />

which in this way becomes a distributed frame of topographic reference.<br />

If D is a set of drainage network points, identified by a number<br />

through a bijective function in order that each point of the drainage<br />

Please cite this article as: Rennó, C. D., et al., <strong>HAND</strong>, a <strong>new</strong> <strong>terrain</strong> <strong>descriptor</strong> <strong>using</strong> <strong>SRTM</strong>-<strong>DEM</strong>: Mapping terra-firme rainforest environments<br />

in Amazonia, Remote Sensing of Environment (2008), doi:10.1016/j.rse.2008.03.018

Hooray! Your file is uploaded and ready to be published.

Saved successfully!

Ooh no, something went wrong!